---
title: "Manish Bisht - Lead Engineer in Bengaluru | Tal"
description: "Meet Manish Bisht, Lead Engineer @ Samsung R&D | Ex-Wadhwani AI | Distributed Systems | Backend & Platform Engineering based in Bengaluru. AI stack includes claude code, hugging face, and langgraph. Explore public work links including leetcode."
image: "https://tal.club/meet/manish-bisht-2/share-image"
---

# Manish Bisht on Tal

## Headline

Lead Engineer @ Samsung R&D \| Ex\-Wadhwani AI \| Distributed Systems \| Backend & Platform Engineering

## About

Lead Software Engineer with 6\+ years of experience building and operating large\-scale distributed systems and backend platforms in production environments\. I specialize in designing high\-throughput, low\-latency services and API\-first platforms with a strong emphasis on scalability, reliability, and operational excellence\. My work focuses designing and building data\-intensive backend services, and cloud\-native architectures, with careful attention to p95/p99 latency, fault tolerance, and backward compatibility\. At Samsung R&D Institute India, I work on the Samsung Account team building identity microservices across auth, profile, and account lifecycle via OAuth2, OIDC, and SSO, serving 1B\+ users across multiple internal and consumer\-facing products\. Previously at Wadhwani AI, I designed and owned backend systems for AI\-driven healthcare platforms, including ML data ingestion pipelines, human\-in\-the\-loop annotation workflows, and multi\-tenant SaaS services deployed at scale\.

## Location

Bengaluru

## AI stack

claude code

hugging face

langgraph

mcp

n8n

## Work experience

Lead Engineer at Samsung R&D Institute India \- Bangalore, Sep 2024 \- Present · 2 yrs, Bengaluru, Karnataka, India, Core contributor on the Samsung Account team, building identity microservices across auth, profile, and inactive account handling \(OAuth2, OIDC, SSO\) serving 1B\+ Samsung Account users at 100M\+ DAU\. Eliminated Korean regulatory risk via zero\-downtime PII compliance across 32B\+ live records using Kafka Connect with custom AES/GCM encryption, and automated GDPR/CCPA/PIPL compliant account lifecycle processing 300M\+ events/day\. Stack: Java, Spring Boot, Kafka, DynamoDB, PostgreSQL, AWS MSK, Kubernetes, OAuth2, OIDC, SSO\.

Software Engineer II at Wadhwani AI, Jan 2023 \- Sep 2024 · 1 yr 9 mos, New Delhi, Delhi, India, Built a unified data ingestion platform from scratch using Django, React\.js, PostgreSQL, and Celery, eliminating per\-project custom backends across all AI initiatives with offline sync, RBAC, JSON Schema\-driven forms, and idempotent submissions\. Shipped an end\-to\-end clinical AI pipeline for Diabetic Retinopathy grading across 40 facilities in 11 states, enabling national\-scale early detection and automating the majority of manual clinical triage\. Stack: Python, Django, PostgreSQL, Redis, Celery, SageMaker, React\.js\.

Software Engineer I at Wadhwani AI, Jul 2020 \- Dec 2022 · 2 yrs 6 mos, New Delhi, Delhi, India, Built ML labeling infrastructure using SageMaker Ground Truth, AWS Lambda, Airflow, and MongoDB, enabling classification, detection, segmentation, and keypoint labeling across 10\+ AI projects with per\-record lineage tracking for auditability\. Built a multi\-account AWS security compliance platform using AWS Config, Cloud Custodian, Lambda, and SQS across 15 accounts, automating 85% of InfoSec controls and triggering 1,000\+ auto\-remediations in production\. Stack: SageMaker Ground Truth, Airflow, MongoDB, AWS Config, Cloud Custodian, Lambda, SQS, Amazon Cognito\.

## Education

Bachelor of Technology, Computer Science, National Institute of Technology Mizoram

PCM with Computer Science, Jawahar Navodaya Vidyalaya Almora

## Public links

- leetcode: https://leetcode\.com/codehead1997

[View the original profile](https://tal.club/meet/manish-bisht-2)

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