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SHUBBHUM YADAV

SHUBBHUM YADAV

Backend Engineer

Bangalore, Karnataka, India 3+ yrs exp 87 · Excellent

About

Backend engineer with 3+ years building large-scale fintech platforms — vendor migrations, multi-custodian reconciliation, and card-issuing systems processing millions of transactions daily — plus hands-on experience designing agentic AI workflows on Anthropic’s Claude APIs for production document automation. Comfortable owning systems end-to-end, from distributed Java/Spring Boot architecture to LLM-powered automation, with a track record of cutting latency, removing vendor dependencies, and replacing manual processes with reliable pipelines.

Skills & Expertise (27)

Java Advanced
8.1/10
3
Years Exp
Spring Boot Advanced
8.0/10
3
Years Exp
Python Advanced
7.5/10
3
Years Exp
Docker Advanced
7.5/10
3
Years Exp
SQL Advanced
7.0/10
3
Years Exp
Git Advanced
7.0/10
3
Years Exp
Data Reconciliation Intermediate
6.5/10
2
Years Exp
Event-Driven Architecture Intermediate
6.5/10
2
Years Exp
Postgresql Intermediate
6.5/10
2
Years Exp
Typescript Intermediate
6.5/10
2
Years Exp
Kafka Intermediate
6.5/10
2
Years Exp
Idempotency Intermediate
6.0/10
2
Years Exp
Distributed Systems Intermediate
6.0/10
2
Years Exp
MongoDb Intermediate
6.0/10
2
Years Exp
Redis Intermediate
6.0/10
2
Years Exp
Jenkins Intermediate
6.0/10
2
Years Exp
FastAPI Intermediate
5.5/10
1
Years Exp
Maven Intermediate
5.0/10
1
Years Exp
DynamoDB Intermediate
5.0/10
1
Years Exp
Temporal Intermediate
4.5/10
1
Years Exp
AWS (CloudWatch AWS (SQS AWS (S3 NestJS WebFlux Groovy Java (Spring Boot)

Work Experience

Associate - Product Engineer (SDE - II)

Keenai Global

Oct 2025 - Present

Owned the migration of $5.5B+ AUM off a third-party portfolio vendor onto an in-house platform, built a cohort based service resolver switching 12+ resource layers per tenant for a zero downtime cutover, ending recurring licensing spend and vendor control of the roadmap. Designed and built a multi custodian reconciliation platform handling 30K+ transactions and 50K+ positions daily from 300+ files across 14 private banks — engineered the bank-side integrations end to end with custodian engineering teams, an SFTP to S3 streaming poller with PGP decryption and per-bucket Slack alerting that cut new reconciliation breaks by 65% and cut ops turnaround on data issues from hours of developer log diving to minutes. Authored 4 shared Spring Boot libraries - reactive multi-tenant API key resolution, a pooled HTTP client with retries, structured access logging with AES-256-GCM, and a Slack alerting SPI — adopted as the standard platform layer by 6 services across teams. Built an AI document processing pipeline for client onboarding on Anthropic’s Claude APIs via the team’s in-house AgentOS platform — configured multimodal agents to classify uploaded IDs and agreements, match them to known client entities and extract compliance fields (name, address, AUM, screening associations), with human-in-the-loop confirmation before commit, replacing manual entry by RMs and compliance. Lead developer on a wire identical Java 25 / Spring Boot 4 / Temporal rewrite of a live Python instrument service authored the parity spec and porting workflow the team works from, cutting average latency 12% across order and instrument APIs.

SDE - I, promoted to SDE - II

Hyperface Technologies

Jul 2023 - Oct 2025

Owned core backend modules of a card-issuing platform serving 4.5M+ cards — card issuance and lifecycle, transaction authorization and network switch integration, ledger and settlement, and customer/account data — cutting latency on critical endpoints from 300ms to 50ms. Developed a Wallet Management System (creation, balance tracking, transaction processing) at 50ms average processing time, and an idempotency framework guaranteeing 100% reliability under high concurrency across 10 critical APIs, cutting error-related incidents by 40%. Engineered a flexible tokenization integration with VISA handling complex multi-bank scenarios via dynamic encryption/decryption flows including intermediary bank layers, enabling onboarding of new issuing banks with virtually zero integration downtime. Built analytics dashboard services on Amazon Redshift processing 150K+ records daily, cutting reporting time from 30 minutes to under 5; and a Cron Management System tracking 2000+ executions daily.

Research and Development Intern

Electronics and Radar Development Establishment (LRDE), DRDO

Mar 2023 - Jun 2023

Achieved 92% accuracy against an 85% industry benchmark with a deep neural network for ship classification from ISAR images (MATLAB, Python/TensorFlow), deployed for real-time inference in C++ (OpenCV DNN, ONNX) at 569 μs; built an ANSYS/MATLAB pipeline generating a 5000+ image dataset.

Education

Computer Science and Engineering - R V College of Engineering

2019 - 2023 · India

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 12/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 87/100

Profile Overview

Member sinceSep 2026