_____ __    _                          ____                            __
  / ___// /_  (_)   ______ _____ ___     / __ \_________ ___________  ____/ /
  \__ \/ __ \/ / | / / __ `/ __ `__ \   / /_/ / ___/ __ `/ ___/ __ \/ __  /
 ___/ / / / / /| |/ / /_/ / / / / / /  / ____/ /  / /_/ (__  ) /_/ / /_/ /
/____/_/ /_/_/ |___/\__,_/_/ /_/ /_/  /_/   /_/   \__,_/____/\__,_/\__,_/

architect of intelligent systems • deep learning researcher • mlops innovator

---

About My Work

I am an AI/ML Engineer focused on architecting intelligent systems that bridge advanced research with real-world applications. My expertise covers the entire machine learning lifecycle—designing neural architectures, building training pipelines, and deploying models that power large-scale, high-impact solutions.

I specialize in translating cutting-edge research into production-ready systems, with experience in optimizing transformer models for efficiency, developing robust intent and NER models for assistants, and scaling distributed training for foundation models.

My approach blends strong mathematical fundamentals with pragmatic engineering practices, ensuring that every system I build is both high-performing and maintainable. I thrive on creating AI solutions that are not just innovative, but also practical, reliable, and impactful.

Technical Mastery

Core ML & Deep Learning

Advanced AI Frameworks

Cloud & Backend

Signature Projects

📄 PaperMind AI A modern PDF chatbot powered by RAG + LangChain that lets users upload PDFs and query them with natural language. Built with FastAPI backend and interactive frontend. #ai #rag #pdf-chatbot	🎵 MoodifyAI An AI-powered music recommendation system that detects emotions from facial expressions and suggests songs tailored to the user’s mood. #ai #music-recommendation #facial-expression-recognition
🖥️ AI Desktop Assistant A fully functional AI assistant with speech-to-text, text-to-speech, intent detection, NER, and app-launching capabilities. Built with custom-trained models for natural command understanding. #desktop-assistant #intent-classification #ner #nlp	🧠 YOLO Object Detection Object detection pipeline using YOLOv8 with a custom dataset. Includes dataset annotation, training scripts, and Telegram bot integration for real-time detection. #object-detection #yolov8 #computer-vision
🔑 Password Manager System A secure password manager web app with Flask, MySQL, and JS. Features include authentication, encryption, and password generation. #password-manager #flask #mysql #security	🛡️ SSH-NC Handbook A practical handbook documenting SSH & Netcat for secure communication and file transfer. Includes usage notes, scripts, and examples for developers & security enthusiasts. #ssh #netcat #security #handbook

Performance Metrics

Research & Innovation

My research focuses on efficient AI model architectures, aiming to push the limits of performance while drastically reducing computational costs. I investigate novel compression methods, sparse attention mechanisms, and dynamic neural networks, alongside hardware-aware architecture design.

By bridging cutting-edge research with industrial deployment, my work ensures that theoretical innovations translate into scalable, production-ready AI systems that deliver real-world impact.

Current Research Focus

mindmap
  root((AI/ML Research))
    Efficient Models
      Sparse Attention Mechanisms
      Knowledge Distillation
      Quantization & Pruning
      Hardware-Aware Neural Architecture Search
    Large Language Models
      Parameter-Efficient Fine-Tuning (PEFT)
      Instruction Tuning
      RLHF & DPO
      Multi-Modal LLMs
    Production ML
      Model Serving Optimization
      Online Learning Systems
      Feature Store Architecture
      ML Observability & Monitoring
    Emerging Areas
      Diffusion Models
      Mixture of Experts
      Neuromorphic Computing
      Federated Learning

Loading

2025 Goals & Roadmap

gantt
    title AI/ML Research & Development Roadmap 2025
    dateFormat YYYY-MM
    section Research
    Efficient Transformers Paper     :2025-01, 3M
    Mixture of Experts Study         :2025-04, 4M
    Neuromorphic Computing           :2025-08, 4M
    section Open Source Projects
    NAS Framework v2.0               :2025-01, 2M
    LLM Toolkit Enhancement          :2025-03, 3M
    Production ML Platform Features  :2025-06, 4M
    section Learning & Skills
    Advanced Rust for ML             :2025-01, 2M
    Triton GPU Programming           :2025-03, 2M
    System Design Mastery            :2025-05, 3M

Loading

Professional Network

---

const shivam = {
    philosophy: "Code is poetry, algorithms are art",
    currentlyLearning: ["Mixture of Experts", "Diffusion Models", "Neuromorphic Computing"],
    collaboration: "Open to research partnerships and innovative ML projects",
    funFact: "I optimize neural networks faster than I optimize my coffee intake ☕"
};

"Building intelligence, one tensor at a time" ⚡