---
title: "Aditya Bichave - Software Engineer II in Bengaluru | Tal"
description: "Meet Aditya Bichave, Software Engineer II | Backend & Distributed Systems | Java, Spring Boot, Python · Microservices, AWS, Kubernetes · Applied AI (RAG, LangGraph) based in Bengaluru. AI stack includes antigravity, opencode, and claudecode."
image: "https://tal.club/meet/aditya-bichave/share-image"
---

# Aditya Bichave on Tal

## Headline

Software Engineer II \| Backend &amp; Distributed Systems \| Java, Spring Boot, Python · Microservices, AWS, Kubernetes · Applied AI \(RAG, LangGraph\)

## About

Backend &amp; distributed\-systems engineer with 5 years building and operating large\-scale, high\-availability services in production\. Currently Software Engineer II at EPAM, on engagements with Uber \(core infrastructure\) and Goldman Sachs \(financial data platform\)\. I build Java, Spring Boot, Python, and Go services — microservices, REST/gRPC APIs, event\-driven pipelines, and cloud\-native systems on AWS and GCP — and own them end to end: design, CI/CD, observability, debugging, and on\-call\. Selected work: \- Scaled subscriber\-processing throughput \~66x — from \~30K records per multi\-minute batch to millions in sub\-minute windows — and sustained 99\.99% uptime across geo\-redundant, multi\-cluster deployments at Sandvine\. \- Owned the majority of a 100\+ microservice TChannel→YARPC migration across Uber's ride\-handling infrastructure, with automation that lifted migration throughput \~7\.5x\. \- Built high\-volume AWS Glue/Lambda \+ Snowflake data pipelines for regulated financial workflows at Goldman Sachs\. Core strengths: Java, Spring Boot, Python, Go, distributed systems, microservices, Kafka, AWS, Kubernetes, Redis, PostgreSQL, Snowflake, observability \(Prometheus/Grafana\), and performance optimization\. My differentiator is applied AI built with production rigor — backend\-heavy RAG systems, multi\-agent workflows, and infra\-diagnostic agents using FastAPI, LangChain, LangGraph, Spring AI, and pgvector\. Projects include DocuMind \(enterprise RAG\) and InfraAgent \(multi\-agent DevOps assistant\)\. Open to Senior Backend / Distributed Systems / Platform roles at product companies where I can own scalable systems end to end\. 📫 aditya\.bichave@gmail\.com · GitHub: github\.com/Aditya\-Bichave

## Location

Bengaluru

## AI stack

antigravity

opencode

claudecode

## Work experience

Software Engineer II at EPAM Systems, Jul 2024 \- Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, Backend and data\-platform engineering on client engagements — Java, Go, Python; REST/gRPC/YARPC; AWS Glue/Lambda; Snowflake; Kafka; Kubernetes/Helm; CI/CD; distributed systems\. Client: Uber — Core Infrastructure / Backend Services \- Owned the majority of a 100\+ microservice migration of internal service communication \(TChannel→YARPC\) across Go and Java services in Uber's ride\-handling infrastructure — updating APIs, configs, CI/CD workflows, and monitoring paths for a reliable, incremental rollout\. \- Built internal scaffolding and automation that accelerated migration throughput \~7\.5x, standardizing rollout across multiple teams\. \- Authored migration playbooks adopted org\-wide, improving consistency and onboarding\. Client: Goldman Sachs — Financial Data Platform \(Asset Management &amp; Reporting\) \- Architected high\-volume Python ETL pipelines on AWS Glue/Lambda, owning ingestion → transformation → modeling → delivery for downstream analytics and reporting\. \- Modeled semantic data layers \(Legend Studio/PURE\) and tuned Snowflake queries/schemas; enforced data\-quality checks for regulated financial data\. \- Deployed on Kubernetes/Helm with CI/CD and Kafka event streaming; instrumented Prometheus/Grafana for monitoring and alerting\.

Software Engineer 2 at Sandvine, Mar 2022 \- Jun 2024 · 2 yrs 4 mos

Software Engineer at Sandvine, Oct 2021 \- Mar 2022 · 6 mos, Bangalore Urban, Karnataka, India

Software QA Automation Engineer at PubMatic, Jul 2021 \- Oct 2021 · 4 mos, Pune Division, Maharashtra, India, \- Built and tested backend service features; debugged production issues and contributed to performance and reliability improvements that fed into the platform's high\-availability roadmap\.

Machine Learning Research Intern at Centre for Computational Technologies \(CCTech\), Jun 2019 \- Aug 2019 · 3 mos, Pune

eYRC\-2018 at e\-Yantra, IIT Bombay, Oct 2018 \- Apr 2019 · 7 mos, Pune/Pimpri\-Chinchwad Area, Member Of Team Qualifying for National Level E Yantra Robotics Competition 2018 HC\-\#4735 e\-Yantra Robotics Competition \(eYRC\) is a unique annual competition for undergraduate students in science and colleges\. Selected teams are given a robotic kit complete with accessories and video tutorials to help them learn basic concepts in Machine Learning, Deep Learning, Computer Vision, embedded systems and microcontroller programming\. Abstracts of real\-world problems assigned as "themes" are then implemented by the teams using the robotic kits\.

## Education

Bachelor's degree, Computer Engineering, Pimpri Chinchwad Education Trust'S\. Pimpri Chinchwad College Of Engineering

11th\-12th, Science PCM, Ashoka Universal School and Jr\. College,Nashik, Maharashtra

[View the original profile](https://tal.club/meet/aditya-bichave)

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