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Manu CMC
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Manu C

@manuc

I build scalable Java/AWS backend systems and agentic AI products with LangChain and LLM APIs.

India
Message

What I'm looking for

I'm seeking backend SDE or AI/ML engineering roles where I can build scalable Java/AWS systems and deliver applied agentic AI impact.

At Volt Money, I built backend systems in Java Spring Boot and AWS, including a regulatory compliance pipeline that processed approximately 9L+ blacklisted records per day.

I automated reconciliation, TTL cleanup, and Action Taken Report generation with zero manual intervention. I also independently designed reason-specific denial handling and webhook consumers for asynchronous AML and NSDL events, keeping user journey states consistent across synchronous and asynchronous systems.

I'm building agentic AI products with LangChain, LangGraph, Gemini, FastAPI, and Spring Boot. My AI Interview Practice Partner uses an explicit state machine across 18 job roles, while my real-time meeting agent combines live transcription, MCP-based tooling, SQS, and post-meeting action-item workflows.

I'm a Computer Science and Engineering undergraduate in AI & ML at Ramaiah Institute of Technology, with a completed IIT Madras Diploma in Data Science. I bring hands-on backend, cloud, data science, and applied AI work to roles where reliable systems create practical AI impact.

Experience

Work history, roles, and key accomplishments

VM

Backend SDE Intern

Volt Money

Designed a producer-consumer regulatory compliance pipeline using SQS, Lambda, and EventBridge, ingesting over 900,000 blacklisted records daily. Replaced generic failure states with reason-specific denial screens and built webhook consumers for asynchronous AML and NSDL rejection events.

Education

Degrees, certifications, and relevant coursework

Ramaiah Institute of Technology logoRT

Ramaiah Institute of Technology

Bachelor of Engineering, Computer Science and Engineering (AI & ML)

2022 -

Grade: 9.2/10 CGPA

Pursuing a Bachelor of Engineering in Computer Science and Engineering with a focus on AI and ML, maintaining a CGPA of 9.2/10.

Indian Institute of Technology Madras logoIM

Indian Institute of Technology Madras

Diploma, Data Science

Completed a Diploma in Data Science as part of the BSc Degree Program in January 2026.

GC

Gopalaswamy PU College

Pre-University, Pre-University Course (PCMC)

Grade: 98%

Completed Pre-University Course in Physics, Chemistry, Mathematics, and Computer Science with 98%.

VS

Vijaya Vittala Vidya Shala

SSLC, Secondary Education

Grade: 99.84%

Completed SSLC with 99.84%.

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