Software Engineer | AI/ML | Backend Systems
Final year Computer Engineering student focused on backend engineering and AI systems. I build production-ready applications and intelligent systems with clean architecture, efficient APIs, and scalable design.
Strong foundation in data structures, system design fundamentals, and machine learning, with hands-on experience in full-stack development and large language models.
- Backend development with scalable API design
- Full-stack application development (MERN)
- LLMs and machine learning systems
- Data structures and algorithmic problem solving
- Clean, maintainable, production-level code
Languages: Python, C++, JavaScript, SQL
Backend: Node.js, Express.js
Frontend: React
Database: MongoDB
AI/ML: TensorFlow, Keras, Scikit-learn, Transformers
Data: Pandas, NumPy
Tools: Git, REST APIs, Postman
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Hriday Care – AI-Based Healthcare Platform
Developed a full-stack healthcare platform integrating machine learning for predictive health insights and patient monitoring.
Designed and implemented scalable backend APIs and secure authentication workflows using Node.js, Express, and MongoDB.
Integrated data-driven models to analyze health parameters and assist in early risk detection.
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7 Billion Parameter LLM Fine-Tuning
Fine-tuned a 7B parameter large language model on domain-specific data to improve task-specific performance.
Implemented efficient training pipelines using modern transformer frameworks and optimized resource utilization.
Evaluated model performance using structured benchmarks and improved response quality through iterative tuning.
Software Development Engineer roles in product-based companies and high-growth startups.
Backend / Full Stack / AI roles with strong engineering ownership and real-world impact.