Available for new opportunities

BuildingReliable Productsfor complexworkflows.

Harshit S

Software Engineer · Java · TypeScript · React

Building scalable web applications with Spring Boot, React, distributed services, and reliable automation.

View My Work Let's Connect
15+Banking Clients
20+Jobs Migrated
~95%Sync Accuracy Gain
~30%Peak Load Reduction
02/ ABOUT
02 / ABOUT

Engineering dependable products for enterprise banking workflows.

I build enterprise-scale applications with Java, TypeScript, React, and distributed service architectures. My work focuses on systems that stay maintainable as their usage and business impact grow.

I develop Spring Boot microservices and integrate REST, GraphQL, and gRPC APIs across distributed systems. I also build reusable React and Next.js components, modernize legacy Angular applications, and design scheduling and rate-limiting mechanisms for busy services.

Recent work includes AI-assisted KYC and credit decision integrations, gRPC APIs that improved customer data synchronization accuracy by about 95%, and SFTP automation for more than 15 banking clients. I take features through design, testing, deployment, and production support.

I care about practical delivery: clear service boundaries, useful automation, and tests that catch regressions before release. My toolkit includes Playwright, Jenkins, GitHub Actions, AWS, PostgreSQL, MongoDB, and the AI-assisted development tools I use to move from idea to dependable implementation.

03 / STACK

The stack, in action.

Full-stack depth from interface to service. Select a scenario below to see which layers activate across a production workflow.

Languages & Frontend
ReactNext.jsJavaScriptTypeScriptNode.jsAngularHTML5CSS3PythonC++SQL
Backend & APIs
JavaSpring BootREST APIsGraphQLgRPCMicroservicesDistributed SystemsTemporal workflows
Data, Cloud & Delivery
AWSJenkinsGitHub ActionsPostgreSQLMongoDBSQL optimizationPlaywright
Integration & Quality
SFTP automationProtocol BuffersAPI integrationE2E testingReduxGitHub CopilotClaude Code
04 TIMELINE
04 / TIMELINE

Experience

Aug 2024 - Present
Product EngineerFull-time
Finacle | EdgeVerve Systems Limited, Bengaluru
  • Developed enterprise-scale Java, TypeScript, and React applications serving core banking workflows.
  • Built Spring Boot microservices and REST, GraphQL, and gRPC integrations across distributed services.
  • Developed AI-assisted KYC and credit decision integrations and reusable React / Next.js component libraries.
  • Improved customer data synchronization accuracy by about 95% with Protocol Buffer-based gRPC APIs.
  • Reduced peak backend processing load by about 30% with scheduling and rate-limiting mechanisms.
  • Implemented SFTP automation for 15+ banking clients and Playwright end-to-end testing workflows.
  • Modernized legacy Angular applications and led features through testing, deployment, and production support.
Jan 2024 - Jul 2024
Product Engineer InternInternship
Finacle | EdgeVerve Systems Limited, Bengaluru
  • Developed reusable frontend and service-layer components for enterprise banking applications.
  • Migrated 20+ background jobs to Temporal workflow orchestration, improving observability by 60% and eliminating manual retry failures.
05 PROJECTS
05 / PROJECTS

Selected Work

All work →
AI Systems2024

AI Multi-Agent Orchestration Platform

A production agentic system that decomposes complex tasks, dispatches specialised agents, maintains working memory, and routes tool calls through a typed execution graph.

PythonLangGraphClaudepgvectorFastAPI
AI Systems2024

Production RAG Infrastructure for Document Intelligence

End-to-end retrieval-augmented generation pipeline with hybrid dense-sparse retrieval, MMR reranking, and a streaming inference layer. Deployed for a fintech firm with 40K+ document corpus.

Pythontext-embedding-3-smallpgvectorFastAPINext.js
Tooling2023

LLM Evaluation Harness

Framework for evaluating language model outputs across factuality, format adherence, and task-specific rubrics. Designed to be extended as models change, not replaced.

PythonTypeScriptPydanticpytest
AI Systems2023

UPI Transaction Fraud Detection System

Real-time fraud detection pipeline for UPI payment flows, processing 50K+ transactions per minute at sub-100ms decision latency using a tiered rule-based and ML classifier architecture.

PythonFastAPIRedisPostgreSQLscikit-learn
06 / THINKING

Writing

All posts ->
2025-11

Why RAG will outlive the context window debate

Longer context doesn't make retrieval irrelevant — it changes what retrieval is for.

2025-05

Agentic systems need failure modes, not just success paths

Every agent decision that can't be reviewed is a gap in your production architecture.

2025-03

Prompt engineering is not a job title

The skill isn't writing better prompts. It's knowing when the prompt is the wrong abstraction entirely.

2025-04

Context is not memory

Treating the context window like a conversation history is the first mistake most teams make when building agents.

2025-06

Structured outputs require structured thinking

JSON mode doesn't save you from an underspecified schema. It just makes the failure more consistent.

2025-07

Set a latency budget before you pick a model

Most teams choose the most capable model and then discover their latency requirements. That's backwards.

2025-09

Ship evals before you ship features

You can't improve what you can't measure. In LLM systems, measurement is the hard part.