Hi. I'm Vamsi Krishna

A dedicated Software Engineer with hands on experience in full-stack development. I specialize in creating scalable and reliable cloud solutions, leveraging my strong background in algorithms, distributed systems, and machine learning.

I thrive on solving complex problems and have a proven track record in designing high-performance microservices. My technical toolkit includes Java, Python, JavaScript, C++, Spring Boot, Node.js, AWS, Kubernetes, and a variety of databases and frameworks.

Learn about where I worked

Work Experience

I have experience in Finance, E-commerce, and IT domains

Full Stack Developer @ Saayam Foundation

Developed cost-saving React workflow to replace Google Picker for document uploads.
Implemented api gateway and server-less RESTful APIs, reducing operational cost by 30%.
Designed kafka topics to process volunteer request matching, increasing throughput by 40%.
Streamlined CI/CD pipelines and AWS Infrastructure with IaC automation using Pulumi.

Software Engineer @ CityMall

Developed scalable order processing & promotional coupon microservice using Java Spring Boot.
Refined cart to checkout flow with reusable react native components, improving user experience.
Engineered cloud-native click-stream analytics pipeline using AWS Dynamo DB, and Kafka.
Implemented redis caching to improve performance, reliability, and response times across services.

Associate Software Engineer @ Kore.ai

Automated 80% of routine HR and IT queries with an AI-powered chatbot.
Developed service oriented architecture using Node.js to integrate various external systems.
Achieved 90% accuracy in intent and entity identification through machine learning and NLP.

Software Development Intern @ Planful

Refactored legacy ERP system to scalable REST APIs using .NET framework (C#).
Utilized telemetry tools to identify performance bottlenecks and code optimizations.
Achieved 85% code coverage with an automated test suite using Selenium and JUnit.

Personal Portfolio

I have experience in building projects across several domains, including full-stack development, recommendation systems, reinforcement learning, and database management.

Buy Me

Designed and optimized full-stack auction platform with features like search, auto-bidding, and analytics.

Cine Match

Architected movie recommendation system employing neural matrix factorization model, generating personalized Top-10 movie recommendations for over 6,000 users with 70% precision.

State Solver

Developed probabilistic model using graph traversal and heuristic algorithms to optimize robot path through maze with obstacles.

Query Enhancer

Optimized large-scale data retrieval by implementing B+ Tree, reducing query execution time by 80% and disk I/O by 50%.
Implemented C++ library to support Query executors, enabling efficient sequential scans, joins, and aggregations on data sources.

Employee Mangement System

Developed a java servlet web application with MySQL datastore to manage employees of an organisation.

Image Resizing

Implemented dynamic programming algorithm, Seam Carving, to intelligently remove less energy pixels from an image reducing the pixel size by 10x without losing the pictures naturality.