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Adarsh-Saurabh (Adarsh Saurabh) Β· GitHub
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Adarsh-Saurabh/README.md

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🎯 About Me

class AdarshSaurabh:
    def __init__(self):
        self.education = "M.Tech in Signal & Image Processing @ NIT Rourkela"
        self.undergrad = "B.Tech in CSE @ Guru Ghasidas University (8.5 CGPA)"
        self.qualifications = ["GATE CSE 2025", "GATE DA 2025"]
        self.specializations = [
            "High-Throughput ML Pipelines & GBDT GPU Acceleration",
            "Local LLM Inference Serving & Multi-Agent Systems",
            "Computer Vision & Edge Device Deployment"
        ]

πŸš€ Key Highlights

  • πŸŽ“ Research & Degree: M.Tech candidate (Signal & Image Processing), National Institute of Technology, Rourkela (2025–2027).
  • πŸ† Competitive ML: Built 24.2M-record Entity Resolution pipeline for Amazon ML Challenge 2026 (Macro F0.5 = 0.9719).
  • πŸ€– GenAI Systems: Built adversarial multi-agent document intelligence workflow using LangGraph + Gemini 2.5 Pro.
  • πŸ₯‡ Hackathons: Rank 1 @ Girlscript "Hack4CG" (Facial Emotion Recognition); Intermediate Winner @ Awaiken Hacks (MediaPipe CV).

πŸ’» Technical Arsenal

Layer Technologies
Core Languages Python, C++, C, SQL, TypeScript
ML & Data Systems Polars, CatBoost (GPU), LightGBM, RapidFuzz, Scikit-Learn, PyTorch, OpenCV
LLMs & GenAI LangGraph, LiteLLM, llama.cpp, Gemini API, Hugging Face, Streamlit
Backend & Cloud FastAPI, Django REST, Next.js, Supabase, PostgreSQL, Docker

πŸ”₯ Flagship Projects & Repositories

Project / Repository Focus & Architecture Stack Links & Key Results
Amazon ML Challenge 2026 24.2M-record Entity Resolution engine with multi-view blocking CatBoost GPU, LightGBM, Polars, RapidFuzz Code β€’ Macro F0.5 = 0.9719
IBYD Warehouse PathMapper Heuristic routing system for dynamic warehouse mapping (10,000Γ—10,000 units) Python, Graph Algorithms, Heuristics Video Demo β€’ <0.5s for 10,000+ points
Uplan AI Adversarial multi-agent document verification with Gemini 2.5 Pro LangGraph, Gemini API, Streamlit, Python Hugging Face Space β€’ 85% manual audit cut
local-gpu-llm-hub Stateless local GPU LLM inference server + LiteLLM proxy FastAPI, llama.cpp, CUDA, Web UI Code β€’ OpenAI/Claude API drop-in
Alternative Data Radar Automated pre-earnings web signals & corporate health index TypeScript, Next.js, Supabase, Bright Data Code β€’ Real-time Recharts dashboard
Apna Gold SaaS Multi-tenant B2B2C gold platform with KYC verification & tenant isolation Django REST API, React Vite, JWT Live Platform β€’ Production SaaS
CodeAtlas Zero-dependency AST architecture graph & performance bottleneck analyzer Python ast, Graph Algorithms, Mermaid.js Code β€’ AST structural analysis
K-HUKI Keyframe extraction engine with HOG features & unsupervised clustering Python, Computer Vision, OpenCV, ML Project Report β€’ 96.45% acc, 11x faster ResNet
Wildlife-Tracking Edge-network real-time hybrid animal tracking PyTorch, Computer Vision, Edge AI Code β€’ Real-time edge inference

πŸ“„ Resume

Click to expand / collapse resume details

πŸŽ“ Education

  • National Institute of Technology, Rourkela (2025 -- 2027)
    Master of Technology in Signal and Image Processing --- CGPA: 8.28
  • Guru Ghasidas University, Bilaspur (2020 -- 2024)
    Bachelor of Technology in Computer Science & Engineering --- CGPA: 8.50

πŸ’Ό Professional Experience

  • Machine Learning Intern --- Autobot Robotics (May 2023 -- Aug 2023)
    • Mentored junior interns in core ML, NumPy, Pandas, and exploratory data analysis.
    • Built and deployed 4 production-grade ML/DL model microservices in Django for robot integration.
  • Team Leader (Academic Alliance Program) --- Ziroh Labs (Jan 2022 -- Feb 2022)
    • Led a 5-engineer team to deliver core image processing pipelines ahead of schedule.

πŸ› οΈ Technical Skills & Tools

  • Languages: Python, C, C++, SQL, TypeScript, HTML/CSS
  • ML & Systems: Polars, CatBoost (GPU), LightGBM, RapidFuzz, PyTorch, Scikit-learn, OpenCV, CUDA
  • LLMs & GenAI: LangGraph, Gemini 2.5 Pro / Flash, LiteLLM, llama.cpp, FastAPI, Streamlit, Supabase
  • Web & Data Platforms: Django REST API, Next.js, React Vite, JWT, PostgreSQL, Docker

πŸš€ Projects

  1. Amazon ML Challenge 2026 --- Entity Resolution Engine (2026) --- CatBoost GPU, LightGBM, Polars, RapidFuzz --- Code β€’ Macro F0.5 = 0.9719
  2. Uplan --- Adversarial Document Intelligence Pipeline (2025) --- LangGraph, Gemini 2.5 Pro, Streamlit --- Hugging Face Space β€’ 85% manual audit reduction
  3. Alternative Data Radar (2026) --- Next.js, TypeScript, Supabase, Bright Data --- Code β€’ Corporate health index
  4. IBYD Technology --- Warehouse PathMapper (2023) --- Python, Heuristic Routing --- Video Demo β€’ Sub-0.5s routing on 10,000Γ—10,000 grids
  5. Apna Gold Solutions --- Multi-Tenant SaaS Platform (2025) --- Django REST, React Vite, JWT --- Live Platform β€’ Production B2B2C
  6. K-HOG Unsupervised Keyframe Identifier (K-HUKI) (2023) --- Python, OpenCV, HOG --- Report β€’ 96.45% accuracy, 11x faster ResNet
  7. local-gpu-llm-hub (2026) --- FastAPI, llama.cpp, CUDA --- Code β€’ Local GPU inference server
  8. CodeAtlas (2026) --- Python ast, Mermaid.js --- Code β€’ AST architecture analysis
  9. Wildlife-Tracking (2025) --- PyTorch, Edge AI --- Code β€’ Real-time animal tracking

Download Resume


πŸ“Š GitHub Analytics

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  1. AmazonMl2026 AmazonMl2026 Public

    Python

  2. Alt-Data-Radar-Hackathon Alt-Data-Radar-Hackathon Public

    TypeScript 1

  3. local-gpu-llm-hub local-gpu-llm-hub Public

    Universal, stateless local GPU LLM inference server & web control hub.

    HTML

  4. CodeAtlas CodeAtlas Public

    Python