Node.js, TypeScript, AWS, financial APIs
Banking backends built for speed, traceability, and trust.
I build Node.js and TypeScript services for financial workloads: REST APIs, event-driven serverless workflows, schema validation, AI-agent middleware, debugging, profiling, and release gates that keep high-throughput systems dependable.
Financial Backend Focus
Strong banking services are shaped by clear contracts, guarded edges, async workflows, observability, and careful release evidence.
Guard the API edge
REST contracts, auth boundaries, throttling, JSON/XML schema validation, and clear error semantics keep partner and financial traffic predictable.
Keep Node.js responsive
Async handlers, event-loop profiling, caching, hot-key fixes, query tuning, and structured tracing reduce tail latency under production load.
Route durable events
Lambda, API Gateway, SQS, SNS, EventBridge, Step Functions, DynamoDB, and S3 coordinate workflows without hiding failure modes.
Ship with proof
Jest, integration tests, GitHub Actions, CloudWatch evidence, JIRA delivery, and Confluence runbooks turn every release into a measured change.
Architecture Diagram
A banking Node.js service path from channel intake to API validation, event orchestration, data stores, AI middleware, monitoring, and CI/CD.
Technical Stack
Node.js, TypeScript, cloud services, data stores, AI agents, testing, profiling, and financial integration patterns.
Professional Experience
Full work history with every impact bullet from the resume.
- Architected scalable Node.js and TypeScript backend services and REST APIs on AWS (Lambda, API Gateway, DynamoDB, EventBridge), serving 1K+ daily users at sub-800ms p95 latency for AI-driven product workflows.
- Built AI-agent middleware integrating OpenAI APIs with Greenhouse and calendar systems via TypeScript serverless functions - boosting recommendation match accuracy 35% through embedding-based pipelines.
- Debugged and performance-optimized high-throughput async Node.js workflows using Node profilers, CloudWatch, and structured tracing - cutting p95 latency 40% and eliminating event-loop blocking in production.
- Embedded GitHub Copilot, Cursor, and AWS Bedrock into the daily TypeScript and Python dev workflow for AI-assisted refactoring and code review - accelerating feature delivery 40% with strong Jest test coverage.
- Designed and shipped Node.js and TypeScript backend services and REST APIs on AWS (Lambda, API Gateway, DynamoDB, S3) - processing 500K+ monthly requests at 99.9% uptime with event-driven serverless architectures.
- Built middleware between heterogeneous third-party systems with strict REST API contracts and JSON/XML schema validation - ensuring cross-platform compatibility for financial and partner integrations.
- Profiled and debugged Node.js performance issues (memory leaks, slow handlers, DynamoDB hot keys), applying caching, indexing, and query optimization to cut p99 API latency 45%.
- Implemented Jest unit + integration test pipelines and GitHub Actions CI/CD with data-driven release gating - reducing post-deployment defects 50% across Node.js TypeScript codebases.
- Architected scalable, high-performance Java (Spring Boot) and Node.js backend services and REST APIs for enterprise banking and payment integrations - supporting ACH and Wire transfer flows at 99.99% uptime and 40% faster API response times.
- Built middleware processing 50M+ records/month for 40K+ enterprise users across PostgreSQL and Oracle, with performance optimization (indexing, async batching, query tuning) cutting p95 latency from 1.2s to 280ms.
- Debugged and resolved complex production issues across legacy and modernized stacks, providing post-deployment technical consulting and authoring runbooks and technical documentation in Confluence.
- Led a 12-engineer team through full SDLC (Agile + Waterfall) and drove data-driven incident reduction with automated test pipelines (JUnit, integration) - cutting production incidents 50% year-over-year.
Selected Projects
Node.js AI apps, financial systems, event pipelines, systems programming, and product builds with demo and source links.
AskMyStore
Production-deployed AI agent application with serverless AWS backend, DynamoDB persistence, EventBridge workflows, and event-driven REST API design.
TradeSentinel
Full-stack AI-agent platform with serverless REST APIs and OpenAI integration for financial market analysis, deployed with production performance awareness.
LangChain Chat with Search
Conversational AI agent with web-search tool calling and Python/TypeScript orchestration, showing agentic patterns and tool-use design.
Real-time Stock Market Analysis Pipeline
Distributed event-driven pipeline for real-time financial market ingestion and processing, demonstrating resilient throughput and backend design.
CME MDP 3.0 Multicast Feed Handler
Multi-threaded feed handler for high-throughput financial market data messages, emphasizing low latency parsing and buffer discipline.
Experimental Operating System
Custom operating system project with scheduling, memory management, and systems-level execution concepts.
Character Device Driver
Linux character device driver project showing kernel-facing C development, interface design, and debugging discipline.
16-Bit RISC Processor
Hardware lab project implementing processor fundamentals and reinforcing the discipline behind performance, correctness, and data movement.
STRANGERS
Interactive application project focused on shipping a maintainable product with backend integration and end-to-end implementation discipline.
Comparative Study of Movie Recommendation Systems
Published IEEE research comparing collaborative, content-based, and hybrid recommendation models with feature engineering and improved error functions.
Pitch Perfect
iOS application demonstrating product execution, media handling, and mobile app fundamentals.
Education & Publication
A computer science foundation backed by published research and practical backend systems.
Illinois Institute of Technology
M.S., Computer Science
National Institute of Technology, Calicut
B.Tech, Computer Science
IEEE Research
Comparative Study of Movie Recommendation Systems.
Read PaperContact
Node.js banking APIs, event-driven services, AI agents, and production performance work.
Dev Kumar | Chicago, IL | +1-312-532-8223 | devkumar.dklv@gmail.com