---
title: "Parth Lahoti - Backend/ML Engineer in Bengaluru | Tal"
description: "Meet Parth Lahoti, Software Engineer | Backend (Go/Java) | Microservices & Distributed Systems | Ex-Allen Digital (Ed-Tech) based in Bengaluru. AI stack includes deepmind, kimi, and langfuse."
image: "https://tal.club/meet/parth-9/share-image"
---

# Parth Lahoti on Tal

## Headline

Software Engineer \| Backend \(Go/Java\) \| Microservices & Distributed Systems \| Ex\-Allen Digital \(Ed\-Tech\)

## About

Backend Engineer with 1\+ year of experience building scalable, low\-latency systems in high\-paced product environments\. Currently working at TCS as a Golang Backend Developer for GE Aerospace\. Previously worked at Allen Digital\. Work Experience \(TCS \+ Allen Digital\): \-Built and worked on Golang\-based microservices in distributed systems using gRPC and REST APIs\. \-Optimized backend performance, achieving \~40% improvement in P99 latency\. \-Implemented workflow orchestration using Temporal, reducing manual effort by 80%\. \-Worked with Kafka, Redis, SQL/NoSQL for messaging, caching, and data\-intensive services\. \-Developed and maintained production\-grade services, focusing on concurrency, reliability, and scalability\. Tech Stack: Golang,Java, Springboot, C\+\+, Kafka, Redis, Docker, gRPC, REST APIs, SQL/NoSQL, Linux, Git, AWS \(Basics\), CI/CD\. Core Areas: \-Distributed Systems, Microservices, Concurrency, Multithreading, System Design, LLD \-Solved 600\+ DSA problems and qualified GATE 2025 \(CS\)\. \-Interested in systems programming, OS internals, networking, and backend performance\.

## Location

Bengaluru

## AI stack

deepmind

kimi

langfuse

minimax

## Work experience

Backend/ML Engineer at Tata Consultancy Services, Nov 2025 \- Present · 8 mos, Pune District, Maharashtra, India, Client: GE Aerospace Backend development with Go and Java Exploring Agentic AI and RAG LLMs

Software Engineer \- FTC at ALLEN Digital, Feb 2025 \- Nov 2025 · 10 mos, Bengaluru, Karnataka, India, \-Built and optimized Go\-based gRPC microservices, improving scalability and reducing P99 response times by around 40%\. \-Automated media and asset processing pipelines using Temporal Workflows, reducing manual effort by 80% and improving reliability\. \-Contributed to frontend development using React\.js, Next\.js, and Redux, enhancing user experience and application performance\.

Placement Coordinator at Shri G S Institute of Technology & Science, Dec 2022 \- Sep 2023 · 10 mos, Indore, Madhya Pradesh, India

Software Development Intern at Think AI Corporation, an Inc 5000 company, May 2023 \- Jul 2023 · 3 mos, Indore, Madhya Pradesh, India, Used optimized database queries to retrieve data for Business insights\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, Shri G S Institute of Technology & Science

Sri Sathya Sai Vidya Vihar High School

[View the original profile](https://tal.club/meet/parth-9)

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