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vishaakr98/README.md

Hi, I'm Vishaak 👋

Software engineer with 5+ years building scalable systems and bringing generative AI into real production environments. I work across the stack with Java and Spring Boot, Python for AI and ML services, and React on the front end. Most of my work has been in fintech, designing event driven microservices and ML integrated platforms that process millions of documents a day.

I like working at the intersection of solid engineering and applied AI, taking GenAI from an idea to something that runs reliably at scale.

What I do

  • Build backend services and event driven microservices in Java and Spring Boot
  • Work heavily in Python for AI and ML services, FastAPI backends, and data and retraining pipelines
  • Build responsive front ends in JavaScript and React, wiring them to REST APIs for full stack features
  • Integrate GenAI into existing production systems, working across LLMs and providers rather than any single stack, and adapting to whatever fits the problem
  • Design RAG and agentic pipelines, prompt engines, and model feedback loops
  • Scale and operate systems on GCP and AWS with Docker and Kubernetes
  • Care about performance, reliability, and clean code other people can maintain

Tech I work with

Languages Java Python JavaScript Go SQL

Backend & Messaging Spring Boot FastAPI React Kafka Amazon SQS Amazon SNS Redis

Data MySQL PostgreSQL MongoDB DynamoDB BigQuery

Cloud & DevOps GCP AWS Amazon ECS Amazon S3 Docker Kubernetes Terraform k6

AI & ML Gemini Vertex AI Llama LangChain LangGraph FAISS Faster Whisper Hugging Face

A bit more

  • Recently completed my MS in Computer Science at Northeastern University
  • Based in Atlanta, GA and open to relocating for the right opportunity
  • Currently looking for my next software engineering role

Reach me

LinkedIn Email

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  1. vaarunx/distributed-classification-system vaarunx/distributed-classification-system Public

    Horizontally scalable distributed ML inference system with event-driven architecture. Demonstrates autoscaling, fault tolerance, and throughput optimization using Go workers, AWS ECS, SQS, and cont…

    Python

  2. CalendarApplication CalendarApplication Public

    A calendar application that allows users to manage events through a text-based interface.

    Java

  3. kambaz-react-web-app kambaz-react-web-app Public

    Frontend service for Kambaz Learning App (Canvas clone).

    TypeScript

  4. kambaz-node-server-app kambaz-node-server-app Public

    Backend service for Kambaz Learning App (Canvas clone).

    JavaScript