SAJEEV SHYAM

FULL-STACK DEVELOPER / SYSTEMS ENGINEER

ABOUT_ME.TXT

DESCRIPTION:

Full-Stack Developer with a passion for building scalable and production-grade applications. I have a strong background in backend development, system design, and cloud-native technologies.

Currently pursuing Dual Degree (B.Tech & M.Tech) at IIT Delhi. Experienced in building distributed systems, real-time applications, and ML-powered tools. I solve problems with minimal dependencies and maximum efficiency.

PHILOSOPHY:

"Build systems that scale, code that's maintainable, and solutions that matter."

SKILLS.JSON:

{
  "languages": [
    "Python", "C++", "JavaScript",
    "TypeScript", "Go", "Java"
  ],
  "frontend": [
    "React", "Next.js", "TailwindCSS",
    "CodeMirror", "Recoil"
  ],
  "backend": [
    "Node.js", "Express.js", "Flask",
    "Socket.IO", "gRPC", "REST APIs"
  ],
  "ml_data": [
    "PyTorch", "TensorFlow", "Scikit-learn",
    "Pandas", "NumPy", "spaCy"
  ],
  "databases": [
    "PostgreSQL", "MongoDB", "MySQL",
    "Redis", "RocksDB"
  ],
  "devops": [
    "Docker", "Kubernetes", "AWS",
    "Nginx", "Prometheus", "Grafana"
  ],
  "tools": [
    "Git", "Linux", "CI/CD"
  ]
}

PROJECTS.DIR

ADVANCED_NODE_LOAD_BALANCER

Load Balancer Architecture
Node.js
Express.js
Socket.IO

Production-grade HTTP load balancer with multiple balancing algorithms (Round Robin, Weighted, Least Connections), sticky sessions, path-based routing, and real-time monitoring dashboard using WebSockets.

STACK:Node.js, Express.js, Socket.IO, Winston
CODE

REALTIME_COLLABORATIVE_EDITOR

Collaborative Code Editor
React
Node.js
Socket.IO
Docker

Real-time collaborative code editor enabling multiple users to code together. Features live cursor tracking, room-based collaboration, file management, and syntax highlighting for multiple languages.

STACK:React, Node.js, Socket.IO, CodeMirror, Recoil
CODE

KUBERNETES_CLUSTER_AUTOSCALER

Kubernetes Autoscaler Dashboard
Python
Kubernetes
Prometheus
Grafana
Linux

Intelligent autoscaling system reducing infrastructure costs by 35%. Uses predictive scaling algorithms with time-series analysis to anticipate traffic spikes, achieving 60% faster scale-up response.

STACK:Python, Kubernetes, Prometheus, Grafana
CODE

RESUME_KEYWORD_HIGHLIGHTER

Resume Highlighter Interface
Python
Flask
PyTorch

AI-powered tool to parse and highlight PDF resumes using weighted ensemble of transformer models (spaCy, MiniLM). Features three-tier color-coded highlighting and a QA chatbot for resume questions.

STACK:Python, Flask, PyTorch, spaCy, Transformers
CODE

IMAGE_CAPTION_GENERATOR

Image Captioner Interface
Python
TensorFlow
Streamlit

Deep learning image captioning system using VGG16/MobileNetV2 encoder with LSTM-based decoder and attention mechanism. Trained on Flickr8k dataset with Streamlit deployment interface.

STACK:Python, TensorFlow, Streamlit, NLTK
CODE

AI_SQL_QUERY_GENERATOR

AI SQL Query Generator Interface
Python
FastAPI
MySQL
Streamlit

Full-stack AI application that converts natural language to executable SQL using Gemini/OpenAI. Features schema-aware generation, interactive database explorer, and real-time query execution with result visualization.

STACK:Python, FastAPI, Streamlit, SQLAlchemy, MySQL
CODE

RESUME.PDF

EXPERIENCE:

SOFTWARE ENGINEER INTERN

Axtria - Ingenious Insights | May 2025 - July 2025

  • • Architected full-stack automation testing platform using React and Python-Flask, reducing manual testing efforts by 40%
  • • Engineered asynchronous backend using Celery and Redis for distributed task queue, enabling 1000+ concurrent database validation jobs
  • • Built responsive SPA with real-time data visualizations using Chart.js for test analytics dashboards
  • • Containerized with Docker and deployed using Nginx reverse proxy and Gunicorn, achieving 99.9% uptime

QUANTITATIVE ANALYST INTERN

FidelFolio Investment Pvt Ltd | May 2024 - July 2024

  • • Engineered predictive ML models using PyTorch and Scikit-learn, improving prediction accuracy by 50%
  • • Developed quantitative trading strategies generating 25% alpha on backtested portfolios with ~7% RMSE
  • • Built automated stock selection framework analyzing 21,000+ strategies, achieving 10% alpha

EDUCATION:

DUAL DEGREE (B.TECH & M.TECH)

IIT Delhi | 2021 - 2026

  • • Data Structures, Algorithms, OS, DBMS
  • • Built multiple full-stack projects
  • • Active in tech clubs & hackathons

KEY SKILLS:

  • • Distributed Systems & Scaling
  • • Real-Time Applications
  • • Cloud-Native Architecture
  • • Machine Learning Pipelines
VIEW_RESUME.PDF

CONTACT.SH

EMAIL

sajeev.shyam.iitd@gmail.com

GITHUB

github.com/sajeev505

LINKEDIN

linkedin.com/in/sajeevshyam

$ echo "Open to full-time opportunities in full-stack, backend, and distributed systems."