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hmshuv/README.md

Hi there, I'm Himanshu Gupta! πŸ‘‹

πŸš€ Software Engineer | Full-Stack Developer | AI/ML Engineer | DevOps & System Design Enthusiast

Website LinkedIn Twitter


🧠 About Me

  • πŸ”­ Currently working on Computer Vision, ML Systems & Feature Engineering
  • 🧩 Skilled in System Design, Distributed Systems & Cloud Architectures
  • 🀝 Open to collaborating on AI Research, Full-Stack SaaS, MLOps, and Scalable Backend Systems
  • ✍️ I write technical engineering blogs β†’ Read Here
  • πŸ“¬ Reach me at [email protected]

πŸ† Achievements & GitHub Trophies


πŸš€ Tech Stack


πŸ’Ό Tech Stack

πŸ€– AI, ML & Deep Learning

My Skills

  • LLMs (Transformers, BERT, LLaMA, GPT)
  • RAG, LangChain, Vector DBs
  • MLflow, ONNX, OpenVINO
  • CNNs, GANs, Fine-tuning, Inference Optimization

πŸ“Š Data Engineering & Big Data

  • Apache Spark, Hadoop, Kafka, Airflow
  • Databricks, Hive, Delta Lake
  • Real-time data pipelines, Stream Processing
  • ETL/ELT, Data Lakes, Warehousing

βš™οΈ Backend Engineering

My Skills

  • Microservices, REST, gRPC, GraphQL
  • Event-Driven Systems (Kafka, RabbitMQ)
  • Clean Architecture, DDD, Hexagonal Design

πŸ’» Frontend Engineering

My Skills

  • SSR/SSG, Component-Driven UI
  • WebSockets, Performance Optimization

πŸ—„οΈ Databases & Storage

My Skills

  • Elasticsearch, DynamoDB, Neo4j
  • Query Optimization, Indexing
  • Distributed Storage Systems

☁️ Cloud, DevOps & Infrastructure

My Skills

  • Terraform, Helm
  • CI/CD (GitHub Actions, Jenkins)
  • Nginx, Load Balancing, Auto-Scaling
  • Prometheus, Grafana, Cloud Security

πŸ” Security & System Design

  • OAuth2, JWT, SSO
  • API Security, Secrets Management
  • Distributed Caching, Rate Limiting
  • High Availability, Scalability Rules
  • Load Balancers, Reverse Proxies

πŸ“Š GitHub Analytics

GitHub Stats

GitHub Streak

Top Languages

Activity Graph


🀝 Connect & Support


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  1. Portfolio-Optimisation Portfolio-Optimisation Public

    Portfolio optimization of 7 tech stocks and S&P 500 using CAPM, Monte Carlo simulations, and SciPy optimization. Achieved max Sharpe ratio of 1.48 with Efficient Frontier visualization.

    Jupyter Notebook

  2. Fake-News-Classification Fake-News-Classification Public

    NLP text classification using LSTM and Conv1D-BiLSTM models with word embeddings, and traditional ML models with TF-IDF and Count Vectorizers. Achieved up to 93.18% accuracy.

    Jupyter Notebook

  3. Stock-Price-Prediction-of-Tata-Global-Beverages Stock-Price-Prediction-of-Tata-Global-Beverages Public

    Stock price prediction using Moving Average, KNN, ARIMA, and LSTM (RMSE: 24.43). Feature engineering with EMA & MACD achieved 2.49 RMSE using Linear Regression.

    Jupyter Notebook

  4. virtual-ml-steering-wheel virtual-ml-steering-wheel Public

    This project is a virtual steering wheel controller that allows you to control a car in a racing game using hand gestures detected through a webcam. The project utilizes computer vision techniques …

    Python

  5. PEACE.AI PEACE.AI Public

    This repository contains an end-to-end project for a personalized mental health tracker. The model is trained on a Kaggle dataset using a neural network, and it is integrated with both the frontend…

    Jupyter Notebook

  6. Full-Stack-Hotel-Management-System Full-Stack-Hotel-Management-System Public

    This repo contains codebase of end to end hotel mangement web application which was built as a mini project for DBMS, all the major concepts of DBMS are applied in this project

    JavaScript