Software Engineerfull-stack · backend-leaning · AI — Coimbatore, India

I build full-stack products end to end, from React interfaces to reliable Java and Node.js services and AI features, that stay fast, observable, and easy to change.

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02

About me.

I'mafull-stacksoftwareengineerwholeansbackend.IbuildReactinterfaces,JavaandNode.jsservices,andproductionAIlikeRAGandmulti-agentworkflows,andIcareaboutsoftwarethatstaysfast,observable,andeasytochange.

What I build with

  • Java
  • Spring Boot
  • React
  • TypeScript
  • Node.js
  • .NET
  • PostgreSQL
  • Redis
  • Docker
  • GitHub Actions

Try it

Talk to my
terminal.

Prefer the command line? Ask it who I am, what I build, and how to reach me. Try help, press Tab to complete, and ↑ for history., or tap a command below the terminal.

~/vinoth — zsh

Last login: today on ttys001 · type help to get started

03

What I do.

Backend
Frontend
Systems
Data
Cloud
AI

// 01 · BackendJava 17+ and Spring Boot services, plus Node.js APIs, behind load balancers with health checks. OAuth 2.0, JWT, and RBAC secure 14+ integrations, and every endpoint is designed against a p50, p95, and p99 latency budget, not an average.

// 02 · FrontendReact and Redux interfaces with role-based views, code-splitting, lazy loading, and client-side caching. Code-splitting a React app used by 5K daily users cut Time-to-Interactive by 40%.

// 03 · SystemsSystem design from HLD to LLD: service boundaries, data flow, and failure paths are agreed before code ships. SOLID and the Factory and Strategy patterns keep code easy to extend, like a mapping engine that removed 40 hours a month of manual configuration.

// 04 · DataSQL schema design and indexing that cut JobNest search latency by 35%, Redis caching that cut database hits by 38%, and async work on SQS and Kafka so slow jobs never block a request.

// 05 · CloudDocker, GitHub Actions CI/CD, and deployments on AWS and Azure. CloudWatch and Elasticsearch monitoring helped me resolve 23+ production incidents and cut average resolution time by 30%.

// 06 · AIAgentic RAG on Azure OpenAI and pgvector: agents plan the work, retrieve the right context, and write cited answers. In production it serves 8K queries a day at 450ms p99, and multi-agent workflows cut integration onboarding from 2 weeks to 3 days.

  1. // 01

    Backend

    Java 17+ and Spring Boot services, plus Node.js APIs, behind load balancers with health checks. OAuth 2.0, JWT, and RBAC secure 14+ integrations, and every endpoint is designed against a p50, p95, and p99 latency budget, not an average.

  2. // 02

    Frontend

    React and Redux interfaces with role-based views, code-splitting, lazy loading, and client-side caching. Code-splitting a React app used by 5K daily users cut Time-to-Interactive by 40%.

  3. // 03

    Systems

    System design from HLD to LLD: service boundaries, data flow, and failure paths are agreed before code ships. SOLID and the Factory and Strategy patterns keep code easy to extend, like a mapping engine that removed 40 hours a month of manual configuration.

  4. // 04

    Data

    SQL schema design and indexing that cut JobNest search latency by 35%, Redis caching that cut database hits by 38%, and async work on SQS and Kafka so slow jobs never block a request.

  5. // 05

    Cloud

    Docker, GitHub Actions CI/CD, and deployments on AWS and Azure. CloudWatch and Elasticsearch monitoring helped me resolve 23+ production incidents and cut average resolution time by 30%.

  6. // 06

    AI

    Agentic RAG on Azure OpenAI and pgvector: agents plan the work, retrieve the right context, and write cited answers. In production it serves 8K queries a day at 450ms p99, and multi-agent workflows cut integration onboarding from 2 weeks to 3 days.

An engineer who follows the feature all the way down.

From the
pixel
to the row.

Interfaces, APIs, caches, queues, and storage. I build every layer a feature touches, then make it measurable, secure, and cheap to run.

2026 / Selected practice

Platform traffic50K+Daily requests served
Frontend−40%Time-to-Interactive, 5K daily users
Latency350msp99, down from 900ms

Selected work

Things I’ve
built.

Side projects where I own the whole stack: UI, APIs, data, and AI.

01

Async processing

DocReady

Analyzes DOCX and PDF files for knowledge-base migration readiness. AWS SQS queues analysis jobs for concurrent processing, and an LLM verdict engine scores each document.

Queue-backed concurrencyPythonAWS SQSGemini AIReact
Read case study →
02

Retrieval-augmented AI

RAG Knowledge Assistant

Answers questions over internal docs: documents are chunked and embedded into pgvector, the top-k nearest passages are retrieved by semantic search, and Azure OpenAI writes an answer that cites its sources.

Top-k retrieval · cited answersAzure OpenAIpgvectorPostgreSQLNode.js
Read case study →
03

Multi-agent AI

LinkedIn Content Agent

A three-agent pipeline (Planner, Writer, Reviewer) that turns a topic into a publish-ready post, with OAuth 2.0 token lifecycle management and live reasoning traces.

3-agent pipelineNode.jsGemini APIOAuth 2.0React
Read case study →
04

Microservices

JobNest

A job portal on Spring Boot microservices (auth, jobs, applications) secured with JWT and RBAC, with a normalized, indexed MySQL schema.

−35% search latencySpring BootMySQLRedisJWT
Read case study →
05

Archive

Explore all projects.

Every repository, experiment, and write-up on GitHub.

Credentials

Certified &
proven.

Certifications across cloud, databases, and languages, plus results from competitive programming and hackathons.

Work experience

Track Record
& Roles.

A history of designing, shipping, and operating full-stack products, integrations, and production AI.

Sep 2024 — PresentCoimbatore, India

Associate Software Engineer

@Aptean

Software engineer on a B2B logistics platform serving 50K+ daily requests at 99.9% uptime, working across backend services, React frontends, and production AI features.

  • Defined HLD/LLD solution designs, data-flow specs, and XML/WSDL/SOAP and REST integration standards for third-party APIs with leads and architects.
  • Architected a production RAG system on Azure OpenAI and pgvector serving 8K queries/day at 450ms p99, cutting engineer lookup time by 53%.
  • Engineered multi-agent AI workflows with Chain-of-Thought and Few-Shot prompting, cutting integration onboarding effort by 70% (2 weeks → 3 days).
  • Designed a metadata-driven mapping engine (SOLID, Factory + Strategy) for zero-code onboarding, eliminating 40 hrs/month of manual configuration.
  • Implemented OAuth 2.0 client credentials with JWT and RBAC across 14+ integrations; Redis caching cut DB hits by 38% and p99 from 900ms to 350ms.
  • Built Java 17+ services with virtual threads and multithreading; improved React Time-to-Interactive by 40% for 5K daily active users.
  • Maintained GitHub Actions CI/CD and Azure App Services deployments; resolved 23+ production incidents and cut average resolution time by 30%.
2022 — 2024College

Team Lead & Full Stack Developer

@College Projects

Led and developed multiple full-stack web applications as part of academic coursework and technical initiatives.

  • Completed 5+ full-stack projects during the academic period.
  • Worked on web application development, API integration, and database management.
  • Built responsive, optimized applications following industry best practices.
  • Collaborated with team members using Agile methodology.
  • Applied version control, code reviews, and CI/CD practices.
2023National competition submission

Machine Learning Developer & Team Lead

@Smart India Hackathon

Cleared internal selection among 150+ teams and submitted a machine-learning solution for counterfeit product detection to the Smart India Hackathon national level.

  • Led a team of 6 developers to win the internal selection round.
  • Designed a counterfeit product detection system for e-commerce platforms.
  • Applied the YOLO object detection algorithm with TensorFlow for product classification.
  • Integrated the ML model with a web platform for product authenticity checks.
  • Submitted the project to the Smart India Hackathon national level.
Dec 2021 — May 2025Coimbatore, India

B.Tech, Information Technology

@Sri Krishna College of Engineering and Technology

Led and conducted technical events across the college, from hackathons and ideathons to coding contests, while mentoring younger students.

  • Conducted and led multiple tech events, including hackathons, ideathons, and codeathons, for both intra-college and inter-college participants.
  • Mentored younger students through technical community initiatives.

LinkedIn recommendations

What people
say.

View on LinkedIn ↗
Vinoth consistently demonstrates strong ownership, technical excellence, and a commitment to delivering high-quality solutions.
Read full recommendationShow less

I have had the pleasure of working closely with Vinoth and can confidently recommend him as a highly dependable and talented software engineer.

Vinoth consistently demonstrates strong ownership, technical excellence, and a commitment to delivering high-quality solutions. He has successfully delivered complex carrier integrations, resolved critical production issues, and collaborated effectively with Product Owners, QA, and cross-functional teams to ensure successful outcomes.

One of Vinoth's greatest strengths is his continuous learning mindset. He is always eager to explore emerging technologies and is actively expanding his knowledge in AI to improve engineering productivity and build smarter solutions. His curiosity, adaptability, and willingness to embrace innovation complement his solid technical foundation.

Vinoth is a trusted team player with a positive attitude, strong work ethic, and a passion for continuous improvement. He is a valuable asset to any engineering team, and I look forward to seeing his continued growth and contributions.

Jainlal JSCo-Founder & Head of Product Engineering at Sapien RiseManaged Vinoth directly · July 17, 2026
His strong analytical thinking, technical expertise, and problem-solving abilities have been key to delivering complex features, enhancements, and integrations.
Read full recommendationShow less

I've had the pleasure of working with Vinoth and have been consistently impressed by his strong sense of ownership, accountability, and dedication to delivering high-quality results. He reliably completes his assigned tasks on time and proactively engages with QA and Product Owners whenever requirements need clarification or change, helping ensure smooth and efficient project execution.

He works exceptionally well with cross-functional and global teams. His collaboration with the China team was instrumental in resolving a critical issue in the Starship environment. He also took end-to-end ownership of the task and ensuring a successful rollout.

His strong analytical thinking, technical expertise, and problem-solving abilities have been key to delivering complex features, enhancements, and integrations. Beyond his technical contributions, he is a dependable team player who communicates effectively, collaborates seamlessly, and consistently adds value to the team.

I highly recommend him to any organization seeking a dedicated, highly skilled, and dependable software professional.

Jayashree ThangarajSenior Software Engineer | C# | ASP.NET Web API | .NET Core | SQL | JavaScript | AWSWorked with Vinoth on the same team · July 17, 2026
What stands out most about him is his ability to tackle complex technical challenges with confidence.
Read full recommendationShow less

I had the opportunity to work closely with Vinoth, and it has been rewarding to watch his growth as an engineer. He is someone who consistently approaches his work with dedication, a strong sense of ownership, and a willingness to take on challenging problems.

What stands out most about him is his ability to tackle complex technical challenges with confidence. Rather than being intimidated by difficult tasks, he breaks them down methodically, learns what is needed, and delivers effective solutions. He is dependable and can always be trusted to put in the effort required to get the job done well.

He is also an exceptionally quick learner with a genuine passion for technology. He actively explores new tools, frameworks, and development practices, and is eager to apply them where they can add value. His curiosity and enthusiasm for continuous learning have helped him grow rapidly as an engineer.

Beyond his technical capabilities, he is approachable, collaborative, and receptive to feedback. He works well within a team, communicates effectively, and is always willing to support his colleagues. These qualities, combined with his technical aptitude and work ethic, make him a valuable asset to any organization.

I am confident that Vinoth will continue to excel in his career, and I wholeheartedly recommend him to any team looking for a dedicated, capable, and fast-growing software engineer.

Abraham SamuelSenior Software Engineer | .NET | C# | AWSWorked with Vinoth on the same team · July 16, 2026

Writing

Engineering
notes.

Short write-ups on problems I have solved: performance, design patterns, and async processing.

  1. 01Cutting p99 latency from 900ms to 350ms with a cache-aside Redis layerA mapping workflow looked up the same reference codes on every request. Measuring first, then adding a cache-aside layer, cut database hits by 38%.Sep 20265 minRedisPerformanceCaching
  2. 02Zero-code integrations with the Factory and Strategy patternsEvery new third-party integration used to mean new mapping code. A metadata-driven engine turned it into configuration and saved about 40 hours a month.Aug 20266 minDesign patternsLLDJava
  3. 03Keep slow LLM work off the request path with a queueHow DocReady uses AWS SQS so uploads return instantly, workers scale independently, and a failed LLM call is retried instead of lost.Jul 20265 minAWS SQSAsyncLLM

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