● Available for new roles

Gajendra
Saraswat

Backend Engineer • AI Engineer • 3+ YOE @ BNY Mellon
Building distributed systems (Java/Spring Boot/Kafka) and shipping ML to production.
Published Springer research • GATE 99.1%ile (AIR 943) • Kaggle Top 19%
36%
faster
contract processing
99%
faster
page loads 7m→5s
4,000+
vulns
remediated
24.2×
compression
Springer
View Backend Profile → View AI Profile →
linkedin.com/in/sarques github.com/saarques leetcode 500+ kaggle.com/sarques
Gajendra Saraswat

B.E. • M.Tech (NIT Warangal)

Chennai, India • 3+ years enterprise backend

⚡ Spring Boot • Microservices • REST
◈ Kafka • Redis • DB2 / Vertica / PostgreSQL
⬡ PyTorch • TensorFlow • RAG • Agents
▣ Docker • Jenkins • Ansible • F5/Cumulus
✓ Open to Backend & AI roles
Explore by focus
Two perspectives — backend systems and AI / ML.
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Backend Engineer

Distributed systems • Performance • Resilience
  • Java 17 / Spring Boot / Kafka / API Gateway & Manager
  • DR for 25+ apps • Kafka multi-cluster (8 topics / 2 clusters)
  • Windows 2016→2022 zero-downtime via Ansible + F5/Cumulus
  • 36% faster contracts • 99% faster loads (18.8 MB / 7 min → 5s)
Microservices Redis F5/Cumulus VMAD SiteMinder
Open Backend Page →
AI

AI / ML Engineer

RAG • Agents • Vision • MLOps
  • Python / PyTorch / TensorFlow / Scikit-learn
  • RAG + Agent design (AI Pioneer L3, Windsurf/Devin)
  • Springer 5.5×–24.2× compression (MNIST/CIFAR-10)
  • Fraud 97.6% acc • Leukemia ~90% • Kaggle Top 19%
RAG Vector DB Docker Heroku
Open AI Page →
EXPERIENCE

Bank of New York Mellon — Software Engineer (Aug 2023 – Present)

Chennai • Contract Platform (Java/Angular) • Regulatory Platform (ASP.NET/IIS) • BNY Mellon
36% faster contract processing — Spring Boot microservices with @Async/@Transactional + parallelization/batching + Kafka via API Gateway/Manager (GAE, Docker, GitLab CI/CD)
99% faster portal — 18.8 MB / 7 min → 1 min (IIS compression via RDP) → ~5 sec via app-wide server-side pagination
DR for 25+ apps • Kafka 8 topics / 2 clusters (earliest/latest offsets, lag) • Windows 2016→2022 (QA 3→2, PROD 3→3) via Ansible + F5 BIG-IP/Cumulus + Grafana/Splunk/Orion/PVT
4,000+ vulns remediated • RBAC (Approver/View/Add) • Devin CoT secret exposure fix + governance • NextGen 300+ tests / 95% → MCP/Jira automated regression • P1 MIME outage fix
Selected Projects
Featured work
Springer Publication

Autoencoder-Huffman
Ensemble

5.5×–24.2× on MNIST/CIFAR-10/Fashion MNIST with minimal loss. Published Dec 2024, Springer Singapore.

Springer / GitHub →
Credit Card Fraud

Credit Card Fraud
Detection (Flask)

97.6% acc, 89.6% recall • SMOTE + balanced weights • Flask REST + Docker/Heroku. 16★ / 16 forks.

GitHub →
Leukemia Detection

Blood Cancer
Diagnosis API

~90% via SeResNext/PyTorch on microscopic images • Pandas/NumPy • Docker Hub. Internship project.

GitHub → • Docker Hub (173 pulls) →
Honors & Beyond
GATE 2021 — 99.1%ile (AIR 943) • Kaggle SIIM-ISIC Top 19% • AI Pioneer L3 (Windsurf/Devin, RAG/Agents)
Backend Resume PDF AI Resume PDF