Rohit Patil

Senior Software Engineer

Pune, Maharashtra, India3 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Integrated AI tools for 30% faster sprint delivery.
Architected serverless solutions saving 480 engineer-hours annually.
Achieved 90% reduction in unauthorized API access.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on AI and cloud solutions.

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Skills

Core Skills

JavaAwsAiSecuritySalesforceMachine Learning

Other Skills

Java 17Spring BootOAuth 2.0PythonAI/MLAI-Assisted DevelopmentAWS LambdaAPI GatewayS3OAuthJWTSalesforce LWCDynamoDBLambdaSalesforce.com Development

About

I started as a Java developer. Then AWS pulled me toward serverless. Then Python opened the door to ML and data pipelines. Then Salesforce gave me the CRM layer. Now I sit at the intersection of all four — and that’s exactly where I like to be. At Capgemini, I’ve spent 3 years building systems that quietly do a lot of heavy lifting: a 10+ Lambda function claims platform on Python, Spring Boot microservices securing 50,000+ enterprise users, Salesforce integrations replacing entire manual workflows, and an ML risk engine that flags high-risk insurance claims before a human even looks at them. I’m an early adopter of AI-assisted engineering — Claude, ChatGPT, Copilot — and I treat it as craft, not shortcut. 4× Salesforce Certified | Capgemini Innovation Award 2024 | Open to Senior Engineering roles.

Experience

3 yrs 1 mo

Total Experience

3 yrs 1 mo

Average Tenure

3 yrs 1 mo

Current Experience

Capgemini

2 roles

Senior Software Engineer

Promoted

Oct 2025 – Present · 7 mos

🏢 Domain: Enterprise Insurance & HR | Stack: Java 17 · Spring Boot · AWS · Salesforce · OAuth 2.0 · Python · AI/ML
📌 Key Achievements:
🤖 Integrated AI-assisted development workflow (Claude, ChatGPT, GitHub Copilot) — used for Spring Boot service generation, unit test automation, and architecture documentation → ~30% faster sprint delivery
☁️ Architected serverless insurance policy automation engine (AWS Lambda + API Gateway + S3) → saved 480 engineer-hours/year
🔐 Built OAuth 2.0 + JWT security layer across distributed microservices → 90% reduction in unauthorized API access
🚀 Led Java 11 → 17 migration across microservices serving 50,000+ users → 25% less maintenance overhead
📊 Engineered Claims Management Portal (Salesforce LWC + DynamoDB + Lambda) → 50% faster retrieval, 35% efficiency gain
🧠 Designed AI risk classification engine (Python + ML + Salesforce) → 20% better underwriting accuracy, 60% less manual review
⚡ Optimized SQL + Spring Boot caching → cut report generation from 10s → 6s (40% improvement)
👥 Mentored 3 junior engineers → 15% increase in team sprint velocity
🏆 Capgemini Innovation Award 2024 — Recognized for cloud migration excellence