Hi, I’m Shashank
I turn complex problems into thoughtful software.
Java & Spring Boot at the core. Cloud and applied AI
to take it further.
Professional development
Enterprise banking experience
Microsoft Azure & AI
APIs → interfaces → delivery
Personal projects that connect backend engineering,
cloud infrastructure, and practical AI.
Open the case studies. Explore the source.
Showing all 3 projects
Cloud incident management & AI investigation
Turn alerts into trackable incidents, connect telemetry to evidence, and support root cause investigation with reviewable AI hypotheses.
From a creative brief to storyboards, narration, subtitles, and MP4 exports—with persisted checkpoints and human review.
A Node.js and Express media application connecting metadata APIs, video-quality selection, audio conversion, file streaming, and a browser interface.
Professional experience building and maintaining
software for enterprise banking workflows.
MAY 2024 — PRESENT
Mumbai, India
BANKING & FINANCIAL SERVICESTata Consultancy Services
Developing and maintaining enterprise features for a mortgage loan processing platform, from backend business logic and API integrations to frontend delivery.
Build and enhance Spring Boot REST APIs, integrations, and data access with Spring Data JPA, Hibernate, and MySQL.
Containerize application services with Docker and work with Azure DevOps CI/CD build and deployment workflows.
Write JUnit tests, debug application and database issues, and troubleshoot API integration defects.
Partner with QA and development teams to deliver features and resolve defects through Agile sprint cycles.
Professional experience + personal projects
Azure workflow experience + hands-on projects
Applied in portfolio projects
MySQL at work + distributed project stack
Professional work + personal builds
Professional practice + project validation
Showing 6 skill areas. Experience context is listed with each area.
I use AI to explore, build, and investigate.
Clear requirements, reviewable outputs, and
meaningful checks keep the work grounded.
Provide context, constraints, and acceptance criteria before asking for a solution.
Use AI-assisted tools for design alternatives, first drafts, debugging ideas, and repetitive work.
Inspect the code and evidence, run relevant checks, and make the final engineering decision.
“Suggest failure cases for an alert-ingestion API. Consider duplicate events, retries, and stale AI results.”
MY ENGINEERING CHECKIncidentIQ uses persistent event IDs, guarded state transitions, an outbox, bounded retries, and validation of evidence references. AI recommendations stay advisory.
See the engineering decisionsMicrosoft certifications, a computer applications
foundation, and learning through hands-on work.
AI solutions, backend services, and the Azure development lifecycle.
Cloud concepts, Azure services, governance, and cloud management fundamentals.
Microsoft links describe the certifications. Personal credential verification is available on request.
ABES Engineering College · Uttar Pradesh
Institute of Technology and Science · Ghaziabad
Have a role in Java backend, full-stack development,
cloud engineering, or applied AI? Let’s connect.