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Nikhil-9981/README.md

Hi there, I'm Nikhil 👋

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🚀 About Me

name: Nikhil
role: Software Engineer
summary: I build production-grade full‑stack applications and scalable solutions. I also have practical knowledge of  GenAI and machine learning and apply that knowledge when it improves product features.
experience:
  - Web & Full-stack: Next.js, TypeScript, React, Node.js, API design
  - Databases & Backend: PostgreSQL, Supabase, MongoDB, Redis, SQL
  - Web3 & Blockchain: Solidity, Foundry, smart-contract integration
  - ML & GenAI (applied): embeddings, prompt engineering, model integration, computer vision, deep Learning
currently_learning:
  - Advanced TypeScript and scalable system design
  - Foundry / Solidity tooling and secure smart‑contract development
focus: shipping maintainable, well-tested full‑stack apps and bridging ML features with decentralized flows

I specialize in shipping end‑to‑end products — from frontend (Next.js) to backend APIs, databases and deployment — and I add GenAI features where they add measurable value. I also design and integrate decentralized (Web3) solutions, focusing on secure contracts.


🛠️ Tech Stack & Expertise

Languages

TypeScript JavaScript Python Solidity SQL

Web & Full-Stack

Next.js Node.js Express Tailwind GraphQL REST

Databases & Storage

Postgres MongoDB MySQL Redis Supabase

Machine Learning & GenAI (Applied)

Hugging Face PyTorch TensorFlow OpenAI

  • Embeddings, LLM integration (APIs and on-premise where needed), prompt engineering, lightweight inference and caching strategies.
  • Deep Learning: CNNs, Transformers, training & fine-tuning
  • LLM workflows: prompt engineering, instruction tuning, evaluation
  • RAG & vector search: embeddings, FAISS, Chroma (ChromaDB), Weaviate, Milvus
  • Orchestration & indexing: LangChain, LlamaIndex, Haystack
  • Model hosting & inference: Hugging Face Inference, OpenAI API, custom inference stacks
  • Computer Vision: OpenCV, torchvision/Detectron2 pipelines, classification & detection workflows
  • Practical concerns: batching, caching, cost-aware inference, latency trade-offs

Blockchain & Web3

Foundry Chainlink OpenZeppelin

  • Solidity, contract testing, gas optimization, wallet UX, cross‑chain tools (LayerZero, CCIP ideas).

DevOps & Cloud

Docker GitHub Actions Vercel AWS Postman


💡 Focus Areas & Projects

🔭 Current Work

  • Shipping production Next.js full‑stack applications with strict TypeScript and test coverage.
  • Designing decentralized solutions, integrating smart contracts and wallets into product flows.
  • Applying GenAI / ML techniques selectively to improve search, summarization, recommendations and assistant features.

🔎 What I care about

  • Reliability, maintainability and developer experience (DX).
  • Clear architecture, measurable impact and iterative delivery.

📊 GitHub Stats


📫 Get in touch


"I ship reliable full‑stack Next.js applications and build decentralized solutions — applying GenAI and ML where it produces real product value."

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  1. AI_Agent_for_CSV_files AI_Agent_for_CSV_files Public

    This agent automates the extraction of meaningful insights from CSV files and Google Sheets. With a simple upload process, users can select specific columns, define custom queries, and retrieve str…

    Python

  2. finance_ai_agent finance_ai_agent Public

    Finance AI Agent is an open multi-agent platform for financial intelligence. It combines real-time and historical market data, LLM-based question answering, vector retrieval, and SEC filings scrapi…

    Python

  3. Meal-Detector-AI Meal-Detector-AI Public

    Meal-Detector-AI is a computer vision application that utilizes a deep convolutional neural network to classify food images. The system processes input images through preprocessing, feature extract…

    Jupyter Notebook 1

  4. Nikhil-9981-Healthcare_assignment_what Nikhil-9981-Healthcare_assignment_what Public

    A secure, modular backend for managing users, patients, doctors, and doctor-patient mappings. Built using Django REST Framework and PostgreSQL.. It is deployed on below given URL.

    Python

  5. Patient_registration Patient_registration Public

    TypeScript

  6. recipie-app-api recipie-app-api Public

    Python