Software Engineer | Full Stack Developer (Backend Specialist) Driving innovation and excellence in scalable software solutions

Core Technologies: Spring Boot 3.5 · Java 21 · Generative AI · Full-Stack Development

📧 [email protected] 🔗 LinkedIn - https://www.linkedin.com/in/alanta335 • GitHub - https://github.com/alanta335 • Portfolio - https://alanta335portfolio.netlify.app

I am a backend software engineer with a strong track record of building scalable, production-ready systems using Spring Boot 3.5, Java 21, and cutting-edge Generative AI workflows. My experience spans designing REST APIs, developing asynchronous data pipelines, and implementing full-stack observability with OpenTelemetry. I have hands-on expertise integrating AWS services (S3, Lambda, SQS), optimizing deployments with Docker and custom JREs, and delivering robust solutions for global clients. Alongside my backend skills, I am comfortable with frontend development using React and Flutter, and have a solid foundation in distributed systems, DevOps, and modern software engineering practices. I enjoy leading R&D initiatives, driving innovation, and collaborating with teams to deliver impactful results.

Core Skills: Spring Boot, Java 21, Generative AI, LangChain4J, RAG, REST APIs, Microservices, Spring Batch, AWS (S3, Lambda, SQS), OpenTelemetry, Docker, PostgreSQL, OpenSearch, React, Flutter, OAuth2, Security, DevOps, CI/CD, DDD, TDD, Agile, Git, Blockchain, Embedded Systems

Programming Languages: Java 21, Java 17, Dart, SQL, NoSQL, JavaScript, Python, C++, C

Backend Development: Spring Boot 3.5, Spring AI, Spring Batch, Spring Data, JPA/Hibernate, Spring Scheduler, Quartz, Spring Security, Spring AOP, REST APIs, Microservices, Monolithic Architectures, MyBatis, MapStruct, Lombok, OpenAPI 3 (Swagger), Node.js, Express.js, Razorpay (Payments), Auth0, OAuth2, Google SSO

Generative AI & LLMs: Prompt Engineering (OpenAI, Claude, Gemini), LangChain4J, RAG pipelines, Vector DBs (PGVector, knn_vector, dense_vector), Embedding workflows, OpenAI API, AWS Bedrock API, Token analytics, GardRail, MCP Client/Server, Structured response validation

Frontend Development: Flutter (Android/iOS), Dart, Flutter Flavour, React, TailwindCSS, Axios, HTML, CSS

Databases: PostgreSQL, OpenSearch, Elasticsearch, MySQL, Firestore, MongoDB, H2, SQLite, Flyway (Migration)

Blockchain: Solidity (Ethereum), testnets, Alchemy API, MetaMask integration, Flutter blockchain apps, Wallet connect, contract calls, Blockchain data & transaction workflows

Arduino & Embedded: Arduino Uno, NRF24L01, HC-05, Sensor interfacing (Bluetooth/Radio), Real-time data acquisition, IoT prototyping (Arduino IDE), Cloud integration (Firebase)

DevOps & Cloud: Docker, Docker Compose, Layered Images, AWS (S3, Lambda, ECS, EC2, SQS), LocalStack, JLink, JDeps (Custom JREs), Kibana, OpenSearch Dashboard, Eclipse MAT, Firebase, Nginx

Observability & Tools: OpenTelemetry, opentelemetry-collector, Prometheus, Grafana, Tempo, Loki, IntelliJ IDEA, Postman, Bruno, Maven, Git, GitHub Copilot, Cursor

QBurst – Koratty Infopark, Kerala 680308 2023 – Present

• Backend development for a Generative AI platform using Spring Boot 3.5 and Java 21
• Designed scalable REST APIs and asynchronous data pipelines with SQS, Lambda, and Spring Batch
• Developed and maintained batch processing workflows and scheduled cron jobs using Spring Batch and Quartz
• Built AWS-integrated file processors using S3, Lambda, SQS, and AWS SDK v2
• Implemented full-stack observability using OpenTelemetry for HTTP, DB
• Optimized application using a custom JRE built with JLink, JDeps, and layered Docker images for efficient deployment

• R&D Initiative for Generative AI Matching Platform (Lead Backend Developer, 2025 – Present)

  • Served as Lead Backend Developer in the R&D team for a global HR services client
  • Led the design and prototyping of advanced backend architectures for Generative AI-driven CV and job description matching
  • Evaluated and integrated emerging technologies, including custom retrieval pipelines and observability solutions
  • Collaborated with cross-functional teams to drive innovation, performance, and scalability in production systems

• Generative AI Matching Platform (2023 – Present)

  • Designed and implemented a modular backend solution for a top-ranking global HR services company
  • Developed a Generative AI system to match and search CVs and job descriptions using Spring Boot 3.5, Java 21, and advanced retrieval pipelines
  • Integrated AWS Bedrock Claude with Spring AI for LLM-powered matching and searching
  • Managed large-scale document ingestion, token analytics, and per-file error tracking with Spring Batch, AWS S3, Spring Scheduler for cron jobs, Lambda, and SQS
  • Integrated PostgreSQL and OpenSearch for scalable storage, retrieval, and vector search of documents and embeddings
  • Implemented OpenTelemetry for full-stack observability and performance monitoring

• Recruitment Management App (Flutter)

  • Built a cross-platform Flutter application for the HR provider's client to manage, search, and book recruitment services
  • Implemented secure authentication, real-time updates, and seamless integration with backend APIs
  • Enhanced user experience with intuitive UI, push notifications, and efficient data workflows
  • Supported both Android and iOS platforms with custom theming and robust state management

SANCHARI (Cisco, NASSCOM Foundation ThingQbator program) July 2021 – September 2021

• Worked as a FullStack Flutter Developer intern in a team of 4 interns and 1 guide to build a Travel Guide app from the ground up; app published on Play Store for testing.
• Created user registration using Firebase Authentication.
• Built a page to add travel routes.
• Developed Google Maps integration for travel routes, live location sharing, SOS messaging, and nearby help locations (police stations, hospitals, repair shops), and interest location finder.
• Implemented real-time weather and news updates for travel routes.

Kanjikode Industries Forum (KIF) 2021

• Developed a React web application to showcase all companies under KIF and their products.
• Built features to display detailed information about each company, their products, KIF organization details, and board members.
• Collaborated with a team to design and implement the MySQL database backend.
• Deployed and hosted the application on AWS EC2.
• Website: https://kifproducts.com/

Bachelor of Technology (BTech) in Computer Science NSS College of Engineering, Palakkad 2019 – 2023

• Graduated with First Class with Distinction
• Focus: Software Engineering, Distributed Systems, Machine Learning, Artificial Intelligence, Blockchain

• Introduction to Flutter Development – London App Brewery
• Programming for Everybody (Getting Started with Python) – Coursera (University of Michigan)
• Python Data Structures – Coursera (University of Michigan)
• Crash Course on Python – Coursera (Google)

• Top 10 Team, Reboot Kerala Hackathon (Health Sector) – ASAP Kerala, 2020
• Team Head, Android Application Development – Dyuksha, NSS College of Engineering, 2023
• 1st Place, Hackfit 2022 – National Level Hackathon by ICEFOSS FISAT, 2022
• 1st Place, AIDEATHON – NSS College of Engineering, Palakkad, 2020
• 1st Place, DedSec CTF – Solasta, 2022
• 2nd Place, Hackathon FOSSEra – FOSSNSS & HASP, 2022
• 7242nd Position, Google Hash Code, 2021
• 7421st Position, CTFlearn, 2020

• English – Fluent
• Malayalam – Fluent
• Hindi – Fluent

• Smart Covid QR Scanner (Flutter, 01/2021): Mobile app for contactless visitor tracking via QR codes. https://github.com/alanta335/qr_code-_scanner_for_covid_list

• CTF Writeup (09/2020): Solutions for CTF challenges in web, crypto, forensics, and more. https://github.com/alanta335/ctfs

• Smart Doctor Patient Management (Flutter, 01/2022): Cross-platform app for managing appointments and records using Firebase. https://github.com/alanta335/smart_doctor_patient_detail_management_flutter_app

• Student Profile Management (Flutter, PHP, MySQL, 03/2022): CRUD app with Firebase auth and PHP/MySQL backend. https://github.com/alanta335/flutter_php_mysql_app_student_profile_management

• Anonymous Drug Reporting (Flutter, ML, 05/2022): App for anonymous incident reporting with maps, clustering, and spam detection. https://github.com/alanta335/anonymous-drug-reporting-flutter-app

• Product Authentication via Blockchain (Ethereum, 01/2022): Smart contract solution for product authentication and tracking using QR codes. https://github.com/alanta335/smart_doctor_patient_detail_management_flutter_app

• Vehicle-to-Vehicle Communication (Arduino, Kotlin, 04/2023): Network-free traffic congestion detection and SOS broadcasting system. https://github.com/alanta335/v2v_Arduino_Kotlin_Communication

• LLM Web Search Agent: Java/Spring Boot tool for LLM-powered web search, scraping, and knowledge base creation with SearxNG and semantic processing. GitHub

• Spring Batch + Quartz + PostgreSQL + NGINX + LocalStack: Dockerize batch job environment with advanced scheduling, PostgreSQL, S3 (LocalStack), and NGINX reverse proxy. GitHub

• E-commerce Website (React, Tailwind, Firebase, Razorpay, Google Cloud Run): E-commerce platform for selling tote bags, built with React and Tailwind CSS, using Firebase for backend, Razorpay for payments, and deployed on Google Cloud Run. https://github.com/alanta335/ecomerse_website_react_firebase

• AI Agent Doctor (Flutter, LLM, Groq): AI-powered doctor assistant app for users without access to real doctors, built with Flutter and LLM Groq. https://github.com/alanta335/ai-agent