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The story behind the systems.

I'm Dhadi Sai Praneeth Reddy, Co-Founder and CEO of Atlas AI Labs. I build sovereign AI for governments and enterprises, where getting it wrong has real consequences.

Dhadi Sai Praneeth Reddy presenting at a working session
Hyderabad, India@dspraneeth07

01Story

How it started, and why it matters.

Chapter 01 · Origin

A habit of following questions

At fifteen, I decided to understand the ocean.

I had no mentor and no course, only questions.

For six months I researched alone, then wrote what became The Endless Ocean: Oceanography, Volume 1, an introductory textbook of about 300 pages across 15 chapters.

That was when I learned how far a question can take you if you refuse to stop at the easy answer.

I kept writing after that, story books included. One of them comes back later in this story.

The bookThe Endless Ocean: Oceanography, Volume 1An introductory oceanography textbook, about 300 pages across 15 chapters, written at fifteen.See the book

Chapter 02 · Learning to build

From YouTube to forty frameworks

In 10th class, thanks to YouTube, I started learning the C language.

I didn't stop at tutorials. I kept building.

Over time I shipped projects across around forty different frameworks and tools. In 12th class I began researching computer science and development, and started learning AI and machine learning.

Chapter 03 · Research and competing

Where AI became the mission

In my first year of B.Tech at Vasavi College of Engineering, I began publishing research papers at conferences and went deep into AI research. Watching how fast the field was moving, and how much it could change, is what pulled me in for good.

That same year I started entering AI hackathons. Smart India Hackathon took me through department, campus and regional rounds before I couldn't move forward. It was disappointing, and it made me work harder.

In March 2025 I took part in Gen AI Hackathon 2025 at Vasavi, with SmartBridge, nasscom and FutureSkills Prime, and won 1st place among 80+ teams with QwiX CV. It was my first win.

I also won 1st place at HackIndia 2025 Spark 6, a 36-hour overnight hackathon at CBIT, among 60 finalist teams, and went on to be a national finalist in the top 30.

Team QwikZen, Dhadi Sai Praneeth Reddy with teammates and organisers, receiving the 1st place prize at Gen AI Hackathon 2025 at Vasavi College of Engineering
1st place, Gen AI Hackathon 2025
Team QwikZen holding the HackIndia 2025 Spark 6 winning cheque with organisers at CBIT, Hyderabad
1st place, HackIndia 2025 Spark 6, then national finalist

Building QwiXGenie then showed me what AI does when it reaches people who were never served before: 600,000 learners, many from Tier-2 and Tier-3 cities, getting a patient tutor in their pocket. That is the version of AI I care about.

Not the demo, but the system that quietly makes a difference for someone who needed it.
Competition record
EventResult
Smart India HackathonMinistry of Education's Innovation Cell and AICTEShortlisted: department, campus, regional
Gen AI Hackathon 2025NASSCOM FutureSkills Prime × SmartBridgeWinner
Inter-Collegiate Competition on Anti-Drug Awareness, Shield AI posterTelangana Anti-Narcotics Bureau (TGANB)Best Poster Award
HackIndia 2025 Spark 6 (36 hours)Hack India, at CBITRegional winner, national finalist

Chapter 04 · EAGLE Force Shared within authorized limits

From a storybook to a state platform

I write story books, so I wrote one about the fight against drugs: Phoenix Rising: The Fight Against Drugs. I submitted it to Shri Sandeep Shandilya, Retd. IPS, Director of EAGLE Force, then known as the Anti Narcotics Bureau. Soon after, the Bureau held an anti-drug awareness event at Vasavi.

Alongside the book I had built Shield AI, a questionnaire-based assessment that estimates how close someone is to addiction. I presented it to the Bureau's team as a poster and won the poster presentation competition.

Dhadi Sai Praneeth Reddy receiving the Best Poster Award from TGANB Director Sri Sandeep Shandilya IPS, with police officials and Vasavi College of Engineering management, at the Inter-Collegiate Competition on Anti-Drug Awareness
Best Poster Award from TGANB Director Sri Sandeep Shandilya IPS

Soon after, the EAGLE Force team called me to the office and gave me real work: build the platform. Over months, as a solo developer and under the guidance of DIG Shri Abhishek Mohanty, IPS, and SP Shri KCS Raghu Vir, I built a 26-module ecosystem on a .gov.in domain with three AI engines: SAHAY AI (a 24/7 multilingual support companion in English, Telugu, Hindi and Urdu), SHIELD AI (a risk assessment engine) and MITRA-TG (an early-warning screening tool for parents and educators). The platform was formally launched on 31 March 2026 by Shri B. Shivadhar Reddy, IPS, Director General of Police, Telangana.

From the first line of code to a live deployment on a government domain.

Earlier, on 26 June 2025, the Hon'ble Chief Minister of Telangana, Shri Anumula Revanth Reddy, recognized me as an "Anti-Drug Awareness Soldier" with a medal at the TGANB Anti-Drug Awareness Awards.

I come from Tatipamula village in Wanaparthy and study in Hyderabad. This chapter is proof to me that local talent can build national-scale technology.

The bookPhoenix Rising: The Fight Against DrugsA story book on the fight against drugs, presented to the Director of EAGLE Force.See the book

Moments

  • Presenting Phoenix Rising to the Director of EAGLE Force
  • Felicitated by the DGP at the platform launch, 31 March 2026
  • Recognized by the Chief Minister of Telangana, 26 June 2025
Praneeth and Shri Sandeep Shandilya, Retd. IPS, Director of EAGLE Force, holding a copy of Phoenix Rising: The Fight Against Drugs
Presenting Phoenix Rising to the Director of EAGLE Force1 / 3

Chapter 05 · Industry

From the field to the firm

After the EAGLE Force deployment, the Director of TGICCC, a retired IPS officer, invited me to join as a Full Stack AI Engineer intern, working on Dial 112 and the TGICCC website and applications. I worked with the team closely and learned what emergency-grade software demands.

In my third year, second semester, I joined Techmatic Systems on a fast-track offer, a year before finishing my B.Tech. I am glad I did: it put me inside a team shipping agentic products, including FlowOS, and into the founding core of Botella AI Labs.

A job offer a full year before graduation.

Chapter 06 · Why sovereign and agentic

Intelligence that stays where it belongs

Most of what I build runs inside public institutions: drug law enforcement, emergency response, cybercrime units. That data can't be shipped to someone else's servers.

The models have to live where the people using them do.

That's why I pretrained EagleAI from scratch and why T-RACE ONE runs on-device.

Agentic systems are the other half. Real work is a chain of decisions, not a single prompt, and I want systems that plan, act and can be checked at every step.

Chapter 07 · The mark

One ribbon, one orb

The mark is a 7 folded from a single continuous ribbon, carrying an orb at its center, drawn in the gradient that runs from cyan through blue to magenta and orange.

The 07 is the signature.
The dspraneeth07 mark: a 7 folded from one ribbon around a gradient orb
dspraneeth07

The folded ribbon stands for systems built end to end, in one piece. The orb is the intelligence it carries, held at the center, not sent away.

02Timeline

The path so far.

03Experience

What I built, where it ran.

  1. Co-Founder, CEO & AI Researcher

    Atlas AI Labs · Full-time

    Hyderabad, Telangana, India · Remote

    Jan 2026 – Present

    Context

    Co-Founder, CEO and AI Researcher at Atlas AI Labs, a student-led AI research lab at Vasavi College of Engineering, Hyderabad, building agentic systems, sovereign AI tools and open research infrastructure.

    What I built

    • T-RACE ONE (flagship): India's first sovereign OSINT identity intelligence platform. Correlates digital presence across 2,003+ platforms (1,168+ India-specific) in under 60 seconds; DPDP Act 2023 compliant, on-device, built for law enforcement and threat intelligence teams.
    • AOLP: a theoretical framework reframing AI development as irreversible physical phase transitions, introducing Developmental Gating, the Irreversibility Index (DII) and the Law of Compressive Necessity toward ontogeny-driven AGI.
    • KiranaChain: a multi-agent negotiation benchmark on India's 12–14M kirana-store economy, modelling informal credit, supply-chain dynamics and multilingual commerce. Released on Hugging Face (DOI 10.57967/hf/9015).
    • NeuroGenesis: a self-optimizing compiler using Transformer IR encoding and RL that discovers optimization rules autonomously: 0.28 execution-cost reduction vs. a 0.00 LLVM baseline, outperforming MLGO and AutoPhase.
    • GCT-100K: a 100,000-sample cyber-manipulation benchmark (phishing, OTP fraud, social engineering) with a novel Cognitive Manipulation Score (CMS). Apache 2.0.

    Tools

    • Agentic AI
    • Transformers
    • Reinforcement learning
    • OSINT
    • GNNs
    • LLM research

    Measurable result

    2,000+platforms parsed by T-RACE ONE in under a minute

  2. AI Engineer

    Techmatic Systems India Pvt Ltd · Full-time

    Hyderabad, Telangana, India · On-site

    Jul 2026 – Present

    Context

    Joined on a fast-track offer a year before finishing my B.Tech, inside a team shipping agentic products, and into the founding core of Botella AI Labs. Shipped FlowOS, a portable offline AI system, a 1M-row enterprise dataset, and a full company website and SEO overhaul in the first three weeks.

    What I built

    • Built FlowOS, a full-stack agentic workflow builder (visual designer, multi-agent orchestration, connector framework, execution engine). Validated across 400 automated and manual test cases at a 100% pass rate; packaged as a Windows desktop app (Electron) with a zero-touch auto-installer for Python/uv dependencies.
    • Built AirDrive, a privacy-first portable AI platform running a local LLM, RAG pipeline and web search entirely from an encrypted external drive, with zero host-system data footprint.
    • Engineered a 1,000,000-record, 224-attribute synthetic enterprise dataset with a custom generation pipeline built from scratch; published on Hugging Face with full documentation for AI training and IP licensing.
    • Rebuilt and deployed the company's production website, then delivered technical SEO across 25 pages: JSON-LD (FAQ/Product schema), GA4, Google Search Console and Microsoft Clarity, shipped with zero console errors.
    • Evaluated cloud (Claude API) vs. local-LLM architectures for the core platform and drove a tool-calling-first design that reduced inference dependency and operating cost.
    • Selected to the founding core team of Botella AI Labs, owning a research charter across Cybersecurity AI, Agentic AI Safety and proprietary LLM/SLM architecture; co-authoring a Cybersecurity AI paper (Methodology, Related Work).

    Tools

    • Electron
    • Python
    • uv
    • Local LLMs
    • RAG
    • Claude API
    • Hugging Face
    • JSON-LD
    • GA4

    Measurable result

    100%pass rate across 400 FlowOS test cases

  3. AI Engineer

    Elite Action Group for Drug Law Enforcement (EAGLE), Telangana Police · Internship

    Hyderabad, Telangana, India · Hybrid

    Jun 2025 – Mar 2026 · 10 mos

    Shared within authorized limits

    Context

    Solo architect of eagleforce.tspolice.gov.in, India's first AI-integrated law enforcement platform: a 26-module ecosystem on a .gov.in domain with three AI engines, built from the first line of code to live production under the guidance of DIG Shri Abhishek Mohanty, IPS, and SP Shri KCS Raghu Vir. Formally launched on 31 March 2026 by Shri B. Shivadhar Reddy, IPS, Director General of Police, Telangana.

    What I built

    • SAHAY.AI: a 24×7 multilingual conversational AI (English, Telugu, Hindi, Urdu) giving anonymous, real-time support for substance-abuse intervention, with structured guidance workflows for user safety at scale.
    • SHIELD.AI: a predictive risk-assessment engine using behavioural pattern analysis to generate personalised prevention strategies and enable early intervention.
    • MITRA-TG: an adolescent screening tool for parents and educators, built confidentiality-first and multilingual for early detection of substance-use risk.
    • EagleAI: sole architect and trainer of a proprietary 3.1B-parameter transformer built from scratch (custom architecture, pretraining pipeline and tokenizer), trained on Indian drug-law-enforcement data, TGANB policy documents and Eagle Force operational knowledge.

    Tools

    • React 18
    • TypeScript
    • Vite
    • Tailwind CSS
    • Node.js
    • Express
    • MongoDB Atlas
    • i18next
    • React Query
    • Radix UI

    Measurable result

    26modules on a .gov.in domain, with three AI engines (SAHAY AI, SHIELD AI, MITRA-TG), launched by the DGP on 31 Mar 2026

  4. Full Stack AI Engineer Intern

    Telangana Police · Internship

    Hyderabad, Telangana, India · Hybrid

    Apr 2026 – Jul 2026 · 4 mos

    Shared within authorized limits

    Context

    Invited after the EAGLE Force deployment to build for Telangana's state emergency response under the Telangana Integrated Command & Control Centre (TGICCC): Dial 112, and the TGICCC website and applications.

    What I built

    • Architected and developed the TGICCC operational portal and the Dial 112 emergency web application, with responsive interfaces on high-throughput backend services handling real-time public-safety data.
    • Designed ML-driven routing protocols to optimize dispatch between Public Safety Answering Points (PSAPs) and field officers, with predictive modules prioritizing high-urgency traffic during critical incidents.
    • Reduced emergency response contact time through low-latency backend logic, asynchronous queue management and optimized API endpoints across multi-agency workflows.
    • Production deployment with real-time WebSockets, telemetry logging and secure state management for live monitoring of emergency communication health.

    Tools

    • Python
    • Node.js
    • React
    • WebSockets
    • REST APIs
    • Tailwind CSS
  5. Co-Founder & CTO

    QwikZen Group India · Full-time

    Hyderabad, Telangana, India · Remote

    Nov 2023 – Jan 2026 · 2 yrs 3 mos

    Context

    Co-founded and led QwikZen Group India as CTO, building production-grade generative AI platforms for learners and developers across India. Scaled QwiXGenie to 600,000+ enrolled learners within months of launch.

    What I built

    • QwiXGenie: personalised AI coding and technical tutoring for Tier-2 and Tier-3 cities. LLM tutors fine-tuned on curated programming corpora, with adaptive engines that decompose questions into conceptual gaps and surface debugging strategies over final answers. Minimal data collection, encryption at rest and in transit, parental dashboards and content moderation.
    • QwiX CV: AI resume optimization with real-time ATS scoring, job-description matching and automated visibility enhancement.
    • QwiX Shield: anonymous, accessible AI support for drug recovery and prevention.
    • QwiXlate AI: an end-to-end multilingual platform with proprietary LLM-powered speech-to-text, text-to-speech, real-time translation, grammar refinement and voice interaction across 100+ languages, on a privacy-first, zero-storage inference architecture.
    • Contributed to ĀTMA-SLM (Autonomous Trans-Material Meta-Architecture SLM), a deterministic Rust-based neuro-symbolic inference engine: 1.13M signal QPS, 800 ns p50 latency, 7.4M O(1) graph queries and 94.2% crash-safe recovery.
    • Led a 25-member cross-functional team shipping 5+ AI products (QwiXGenie, QwiX CV, QwiX Shield), with a 92% resume improvement rate on QwiX CV.
    • QwiXGenie case study published as Chapter 26 of the Impact India AI Summit 2026 AI in Education Casebook, alongside national-scale EdTech initiatives.

    Tools

    • LLMs
    • Fine-tuning
    • Generative AI
    • Content moderation

    Measurable result

    600K+learners on QwiXGenie

  6. Mentor

    GirlScript Summer of Code · Full-time

    Hyderabad, Telangana, India · Remote

    Aug 2025 – Oct 2025 · 3 mos

    Context

    Selected as a technical mentor for GirlScript Summer of Code 2025, one of India's largest open-source programs, guiding contributors across three projects in full-stack web development, machine learning and AI.

    What I built

    • Reviewed pull requests and gave architectural and code-quality feedback.
    • Unblocked contributors on technical challenges and kept project standards consistent through the program.

    Tools

    • Code review
    • Open source
    • Mentorship

    Measurable result

    3open-source projects mentored

  7. Research Member

    International Association of Engineers (IAENG) · Part-time

    Hong Kong · Remote

    Nov 2023 – Mar 2025 · 1 yr 5 mos

    Context

    Member of the International Association of Engineers, a non-profit global body connecting engineers and computer scientists across 30+ countries.

04Education

Where I've learned

  1. 01

    Vasavi College of Engineering

    B.Tech, Computer Science & Engineering

    Sep 2023 – Aug 2027
    • Member, Cognext Club (AI/ML club, CSE department)
    • Winner, paper presentations at Acumen CS Fest (2024 & 2025)
    • Winner, Gen AI Hackathon 2025
    • Winner, HackIndia Regional Hackathon 2025
    • Winner, Poster Expo (TGANB) at the Inter-Collegiate Anti-Drug Awareness Program 2025
  2. 02

    Akshara Junior College

    Pre-University, MPC (Mathematics, Physics, Chemistry)

    Jun 2021 – May 2023Grade 75.2
    • Secured 96.6 percentile in JEE Main, All India Rank 38,782
    • Participated in academic and technical workshops
  3. 03

    Chanakya High School

    Secondary School Certificate, Telangana Board

    Jun 2020 – May 2021Grade 10.0 GPA

05Skills

The stack I work in.

79 skills across 4 areas, the same list as my CV.

  • AI/ML and LLM Engineering

    0121 skills

    • Large Language Models (LLM)
    • LLM Pretraining
    • LLM Fine-Tuning
    • Transformer Architecture
    • Agentic AI
    • Multi-Agent Systems
    • Reinforcement Learning
    • Deep Learning
    • NLP
    • Computer Vision
    • PyTorch
    • TensorFlow
    • MLOps
    • Hugging Face Transformers
    • Retrieval-Augmented Generation (RAG)
    • Inference Optimization
    • Custom Tokenizer Design
    • Voice Agent & Dialogue System Architecture
    • Speech-to-Text (STT)
    • Text-to-Speech (TTS)
    • Real-Time Translation