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0rajnishk/README.md

Coder GIF

Rajnish Kumar

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High-Impact Engineering: R&D, GenAI & Mobile Systems

I bridge the gap between complex AI research and production-grade applications. My background spans corporate R&D at FedEx, specialized GenAI development at IIT Madras, and delivering over 6 end-to-end commercial applications as a technical consultant.

Professional Experience & R&D

  • R&D Intern at FedEx Smart Lab: Architected Sarathi AI, a fleet management ecosystem. Engineered a computer vision model for driver behavior monitoring, improving detection accuracy from 60% to 100% and integrating real-time IoT (Raspberry Pi) data.
  • GenAI & Full-Stack Developer at SGBC (Brain Centre): Developed Neuro Voyager, a RAG-based research platform presented at NVIDIA GTC. Implemented NeuroGuardrails and Knowledge Graphs for complex query handling.
  • ML Engineer at Desi Crew: Building Multilingual Voice-to-Voice HR Chatbots (supporting 10+ languages) and multi-agent web scraping pipelines for large-scale data extraction.

Contract Engineering & Consulting

  • End-to-End Delivery: Successfully delivered 6 Webapps and Native Mobile Applications for global clients.
  • Specialization: High-impact MVP development, AI/ML integration into legacy systems, and scalable microservices architecture.

Technical Expertise

  • Generative AI: RAG Pipelines (FAISS/Pinecone), NL2SQL Systems, Multi-Agent Orchestration (uAgents, LangChain), Prompt Engineering, NeMo Guardrails.
  • Machine Learning: Computer Vision (Driver Pose Detection), Predictive Analytics, TensorFlow, PyTorch, Scikit-learn.
  • Full-Stack Web: Microservices Architecture, FastAPI, Django, Vue.js, Docker, RESTful APIs, Google Cloud Platform (GCP).
  • Mobile & IoT: Flutter (Dart), Real-time Socket connections, IoT Hardware Integration (Raspberry Pi/ECU data).

Featured Projects

  • Studify: Developed a centralized educational platform serving 10,000+ students with personalized learning resources.
  • Sarathi AI: Real-time fleet monitoring app integrating vehicle diagnostics (ECU) and driver safety alerts. Achieved 100% accuracy in head pose detection.
  • AgentFlow: Multi-Agent Supply Chain Intelligence system. Runner-up at Fetch.ai Innovation Lab Hackathon.
  • Neuro Voyager: RAG-based Q&A system for brain research papers. Showcased at NVIDIA GTC.

Languages & Databases Python Java JavaScript Dart SQL PostgreSQL

AI/ML & Libraries PyTorch TensorFlow LangChain Transformers FAISS

Web & Frameworks Flask Django Vue.js FastAPI

DevOps & Cloud Docker GCP Git


Open for Contracts & Collaboration: [email protected]

Show some love by starring a few repos!

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  1. MAD-II-Project MAD-II-Project Public

    Vue 8

  2. studify studify Public

    HTML 2

  3. Music-Player-MAD-I Music-Player-MAD-I Public

    HTML 7 4

  4. sgbc_ppt_paradox sgbc_ppt_paradox Public

  5. Mask-Detection-WebApp Mask-Detection-WebApp Public

    Mask Detection using Deep Learning and a Web Interface

    Python

  6. AgentFlow AgentFlow Public

    Hackathon project (FetchAI)

    HTML 3 2