π Boston, MA
Software and AI Engineer with 4+ years of experience architecting and scaling enterprise applications, AI-powered platforms, and distributed data systems. Completed MS in Information Systems at Northeastern University (May 2025).
- π Built AI education platform serving 25,000+ students with 95% reduction in course creation time
- π Processed 500K+ events daily with real-time data pipelines achieving 99.99% uptime
- π° Reduced operational costs by 40% while improving query efficiency by 60%
- π§ Designed systems handling 100K+ daily transactions across microservices architecture
- π‘οΈ Implemented enterprise security for 50,000+ users with OAuth 2.0 and RBAC
Dec 2024 β Present | Boston, MA
- Architected AI education platform processing 100K+ research papers using Python/Flask, PostgreSQL, and Kafka
- Engineered real-time data pipelines with Apache Flink and AWS Kinesis, achieving 99.8% content accuracy
- Built AI chatbot handling 10K+ daily queries with LangChain, OpenAI/Anthropic APIs
- Deployed containerized services via Docker on AWS ECS using Terraform and GitHub Actions
- Developed Next.js analytics dashboard with Clerk authentication, achieving 4.9/5 NPS score
Sep 2023 β Dec 2023 | Boston, MA
- Architected scalable microservices solutions for 30+ graduates achieving 99.9% uptime
- Implemented enterprise-grade security with OAuth 2.0, JWT, and RBAC for 50,000+ users
- Optimized database architecture reducing response time by 60% across PostgreSQL and MongoDB
- Led event-driven architecture initiatives with Apache Kafka handling 100,000+ daily transactions
- Reduced system latency by 40% through API gateway patterns and load balancing strategies
Jan 2021 β Aug 2023 | India
- Implemented Java-based microservices using Spring Boot for datacenter analytics
- Built front-end features using React.js, Redux, improving user experience
- Integrated Apache Kafka for real-time data ingestion, processing 500K+ events daily
- Designed big data workflows using Apache Spark and Hadoop, processing 10M+ rows monthly
- Achieved 85% test coverage with JUnit and Mockito following SDLC standards
May 2020 β Dec 2020 | India
- Developed microservices using Spring Boot reducing response time by 35%
- Created data ingestion pipelines on Azure using Data Factory and Synapse Analytics
- Containerized services using Docker/Kubernetes achieving 99.9% availability
- Improved code coverage from 45% to 85% with automated testing
- LangChain - Building AI agents and chains
- OpenAI & Anthropic APIs - LLM integration
- PGVector - Vector database for semantic search
- GroQ - High-performance inference
- LangGraph - Stateful multi-agent workflows
Tech Stack: Groq, LangGraph, PGVector, Django, Docker
- Engineered dual-agent architecture using Groq API with 32B parameter models
- Implemented BAAI/bge-small-en-v1.5 embeddings with PGVector for semantic search
- Achieved <2s response latency for complex multi-hop queries
- Built recursive text segmentation system processing 100+ video channels
- Handles 10,000+ daily queries with horizontal scaling capabilities
Tech Stack: Terraform, GCP, Flask, MySQL, Docker
- Automated 100% infrastructure provisioning through Infrastructure as Code
- Architected multi-subnet VPC with zero-trust network architecture
- Deployed serverless functions with auto-scaling capabilities
- Achieved 99% deployment success rate across multiple environments
- Implemented GitOps workflows and state management best practices
Tech Stack: Flask, Docker, AWS, RabbitMQ, Zookeeper
- Built microservices architecture with auto-scaled EC2 deployments
- Implemented CI/CD via GitHub Actions
- Designed for high availability and fault tolerance
Tech Stack: YOLOv3, TensorFlow, Computer Vision
- Real-time congestion management using AI/ML
- Reduced congestion by 30% in simulations
- Implemented ANPR and smart signal control
Master of Science in Information Systems
Northeastern University | Boston, MA | May 2025
- Mentored 30+ graduate students in system architecture and design
- Advanced coursework in Cloud Computing, Data Science Engineering, Web Development
Bachelor of Technology in Computer Science
PES University | Bangalore, India | May 2021
- Developed hurricane impact monitoring system using Hadoop, Spark, and Kafka
- Collaborated with IFSCR Lab on cybersecurity solutions
- π AWS Certified Solutions Architect - Associate (In Progress - Nov 2025)
- π J.P. Morgan Software Engineering Job Simulation - Forage
- π J.P. Morgan Frontend Developer and Data Visualization - Forage
I'm passionate about building scalable systems, solving complex engineering challenges, and leveraging AI to create impactful solutions. Whether it's discussing system design, cloud architecture, or the latest in AI/ML, I'm always open to connecting with fellow engineers and innovators.
"Building the future, one commit at a time" π



