to start
Stats
Experience:
4+
years
Location: Bengaluru, India
Health:
Tech Stacks
Languages: Python 3.x Core Java JavaScript HTML/CSS
Frameworks: Flask Spring Boot Django Llama-Index Langchain Django Rest Framework FastAPI Node.js
Databases: MySQL MongoDB SQLite PostgreSQL Redis Vector DBs
Cloud: AWS Azure GCP
Applications: GitLab GitHub Linux Jira Power BI Postman Docker Kubernetes Jenkins Terraform
B. Tech in Computer Science and Engineering
Alliance University, Bengaluru
Aug 2017 - Jul 2021
GPA- (3.5/4.0)
Coursework
- Engineering Mathematics (Probability, Statistics, Calculus)
- Core JAVA
- Scripting Languages
- Big Data Analytics
Certifications
- Python Data Structures, COURSERA
Jun 2020
- Java Programming: Solving Problems with Software, COURSERA
Jun 2020
Senior Software Developer
Tata Consultancy Services (TCS), Bengaluru
- Implemented automatic test case generation using GenAI, creating comprehensive test scripts that reduced tester workload by 60% and enhanced overall testing efficiency.
- Enhanced QA Governance procedures by automating workflow processes, resulting in a 90% reduction in non-compliance incidents across multiple projects.
- Developed internal Jira tools APIs using Python and FastAPI, which improved data extraction efficiency by 40%, aiding management reporting and visualization.
- Led a team of 3 developers to build RAG-based knowledge management system using Langchain and vector databases, improving information retrieval by 70%.
- Architected and deployed microservices using Docker and Kubernetes, reducing deployment time by 50% and improving system reliability.
Python, FastAPI, Flask, MySQL, PostgreSQL, Vector DBs, Kubernetes, Docker, Jira, Linux, GitLab, Postman, Power BI
Nov 22 – Current
Associate Software Engineer
Envestnet, Bengaluru
Aug 21 – Nov 22
- Developed and enhanced internal testing automation tool, boosting testing efficiency by over 50% through the implementation of job scheduling functionality.
- Migrated the ticket tracking workflow from Bugzilla to Jira by creating multiple APIs, and integrated Jira APIs to automate bug creation when running from our internal testing automation tool.
Spring Boot, Java, Flask, Python, Linux, Windows Remote Service, GitLab, Postman, MySQL, MongoDB
Research Intern
National Institute of Technology Rourkela
Jun 19 - Jul 19
CLASSIFICATION OF EMOTION USING EEG SIGNALS ON DEAP DATASET
- Developed machine learning models using Python and Scikit-learn to predict different states of emotions with an accuracy of 85% on the DEAP Dataset.
Python, Pandas, NumPy, Sklearn
Projects
Semi Open-Source Advance RAG System - SOAR
Apr 24 - Current
- Built enterprise-grade RAG system processing 10M+ documents with 95% accuracy using advanced vector embeddings and semantic search.
- Implemented multi-modal RAG supporting text, images, and structured data with custom retrieval strategies and re-ranking algorithms.
- Designed scalable microservices architecture handling 1000+ concurrent queries with sub-second response times using FastAPI and Redis caching.
- Deployed on AWS with auto-scaling capabilities, reducing infrastructure costs by 40% while maintaining high availability.
Llama Index, Langchain, FastAPI, Python, PostgreSQL, Vector DBs, Redis, AWS, Docker, Kubernetes
AI-Powered E-commerce Analytics Platform
Jan 24 - Mar 24
- Built comprehensive analytics platform processing 50K+ daily transactions with real-time dashboards and predictive insights.
- Implemented ML models for customer behavior analysis, inventory optimization, and fraud detection achieving 92% accuracy.
- Integrated with multiple payment gateways and third-party APIs, ensuring 99.9% uptime and secure transactions.
Python, FastAPI, React, PostgreSQL, Redis, Docker, AWS, Machine Learning
Project Management and Quality Control – INSIGHT
Oct 21 - Oct 22
- Developed comprehensive project management system with real-time collaboration features for interior design workflows.
- Implemented automated quality control workflows reducing project delivery time by 35% and improving client satisfaction scores.
AWS (EC2, RDS), Azure, Django, Python, MySQL
Fantastic Computing Machine - FCM
- Developing a SaaS Platform to deploy Machine Learning Pre-Trained Models and to provide a sharable link for other users to interact with the model.
AWS (EC2, RDS, S3), Flask, Python, MySQL, MongoDB, Docker
