Manish Bisht profile photo 1 on Tal

Manish Bisht

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

Bengaluru

6+ years of work experience

Samsung R&D Institute India - Bangalore
Sep 20242 yrsPresent

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.
Wadhwani AI
Jan 20231 yr 9 mosSep 2024

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.
Wadhwani AI
Jul 20202 yrs 6 mosDec 2022

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.
LeetCode
@codehead1997

Manish’s AI Stack

claude code
claude code
hugging face
hugging face
langgraph
langgraph
mcp
mcp
n8n
n8n

Education

National Institute of Technology Mizoram

Bachelor of Technology, Computer Science

National Institute of Technology Mizoram

20164 yrs2020

PCM with Computer Science

Jawahar Navodaya Vidyalaya Almora

20087 yrs2015

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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