Solutions Engineer
Highlights
JSW Safety Prediction Analytics: Working on React.js frontend using react-grid-layout for dynamic graph layouts.
Developed backend using Django and integrated with LLaMA to build accident and safety prediction models for JSW clients.
Software Engineer
Highlights
Fullstack Developer: Built REST APIs using Django and Django REST Framework, improving query performance by 30%. Designed responsive UIs with React, integrated APIs via Axios, optimized frontend with lazy loading and caching.
DevOps: Deployed with AWS EC2 using Terraform and Docker. Implemented CI/CD with Jenkins and SonarQube for code quality.
Community Health Worker App: Developed app for CHWs to register households, auto-generate e-vaccination forms, and provide condition-based medication advice. Collaborated with Swiss client and received appreciation for backend API work using JavaScript.
Software Engineering Intern
Highlights
Backend Development and Research: Worked on a Kafka-based data streaming system for client Tenxlabs, enabling real-time processing and analysis of sensor data with backend techstack Fastapi
Machine Learning Intern
Highlights
ML and NLP Projects: Built stock price prediction models using scikit-learn and TensorFlow. Worked with LangChain and fine-tuned LLMs with LoRA/QLORA. Integrated Pinecone for vector search in chatbot applications.
Bachelor
Computer Science
Grade: 8.2
Majors
Computers, Physics, Maths, Chemistry
Grade: 87.2/100
Grade X
Grade X
Grade: 88.1/100
Awarded By
Awarded By
IEEE
Credentials: STB99412
Awarded By
Cisco
under lecturer Matt Constable
Awarded By
IEEE Student Congress
Awarded By
Varcons Technology Bengaluru
Awarded By
Duke University
Published by
International Journal of Advanced Research in Computer and Communication Engineering
Summary
Volume 13, Issue 4, April 2024. DOI: 10.17148/IJARCCE.2024.1341203
Python, JavaScript, C++, SQL.
Deep Learning, NLP, Prompt Engineering, AWS, React, Kubernetes, Django, Jenkins, SonarQube, Docker, Apache Kafka.
Summary
Designed and developed a personal portfolio website using React, TailwindCSS, and deployed it on Vercel. The portfolio showcases my projects, educational background, achievements, and skills. It is accessible at https://portfolio-delta-navy-47.vercel.app/, providing a comprehensive overview of my professional and academic journey.
Summary
(PyTorch, TensorFlow) Engineered a conversational AI model that predicts contextually appropriate next words using deep neural networks. Optimized with backpropagation, ReLU and hyperbolic activations, negative log-likelihood loss, Kaiming initialization, and batch normalization to reduce gradient issues and enhance accuracy.
Summary
(Full-Stack) Built a robust full-stack application using Django and React.js. Implemented JWT authentication and dynamic REST APIs.
Summary
(RAG, Langchain, Langserve): Developed a tool that recommends restaurants based on city input using natural language processing for accurate suggestions.
Summary
(Front-End) Built a responsive music player app in React.js using hooks like useState and useEffect, with intuitive controls, modern design, and audio playback features.
Summary
(Machine Learning) Created a regression model using scikit-learn to predict house prices based on area, including feature engineering for accuracy.