Software Engineer with 4+ years in Java Full Stack Development, Cloud & AI/ML
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I strive to be a better craftsman in the work I believe in. I'm fascinated by solving challenges at scale and enjoy finding the right balance between simplicity and generalization to build robust systems. Experienced Java Full stack developer with over 5 years of expertise in building web applications using Java, Springboot as backend tools and JavaScript as Frontend tools
BIT ERODE
BE · CSE
August 1, 2017 – June 30, 2021
St.Pauls MHSS
HSC
June 1, 2017 – May 31, 2017
Tata Consultancy Services
Software Developer | Citi
July 1, 2021 – Present
Chennai, Tamil Nadu, India
Amazon Development Centre
System Dev Engineer Intern - Designing Bulk Upload Utility
January 1, 2021 – July 1, 2021
Chennai, Tamil Nadu, India
Presidio
Cloud Engineer Intern | Hiring Helper
August 1, 2020 – December 1, 2020
Chennai, Tamil Nadu, India
Library Due Settlement System (Android, Firebase)
June 1, 2026 – Present
Built an Android application enabling students to pay library dues online with CRUD operations backed by Firebase.
Deep Learning Projects (PyTorch, TensorFlow)
June 1, 2026 – Present
Implemented models including DCGAN for face generation and RNN-based script generation.
View ProjectAI Engineering Explorations
June 1, 2026 – Present
A collection of experimental projects exploring distributed systems, AI/ML, and cloud-native architectures. Built experimental projects spanning machine learning, generative AI, distributed systems, and cloud-native platforms. Explored topics including RAG pipelines, LLM agents, diffusion models, time-series forecasting, and deep learning architectures (CNNs, GANs, RNNs). Developed data science and ML workflows involving EDA, feature engineering, clustering, regression, and classification models. Implemented AI-powered systems such as RAG chatbots, NL-to-SQL generators, intelligent document processing (OCR pipelines), and autonomous AI agents. Built automation pipelines and AI workflows using LangChain, CrewAI, n8n, vector databases, and workflow orchestration tools. Developed deep learning models including CNN-based skin cancer detection using InceptionV3 Selected implementations available on GitHub - 20+ projects Exploration and Notes [ML DL NOTES]
View ProjectUdaConnect - Microservices Architecture
January 1, 2021 – December 31, 2021
Refactored a monolithic application into microservices using Flask, SQLAlchemy, and PostgreSQL. Implemented service-to-service communication via RESTAPIs and gRPC, with asynchronous messaging using Kafka brokers.
TechTrends – Cloud Native Deployment Pipeline
January 1, 2021 – December 31, 2021
Built a containerized CI/CD pipeline using Docker, GitHub Actions, Kubernetes, and Helm. Created declarative Kubernetes manifests and automated deployment workflows for sandbox environments.
Observability Dashboard – Monitoring & Incident Response
January 1, 2021 – December 31, 2021
Implemented an observability stack using Prometheus, Grafana, and Jaeger for monitoring distributed services. Built custom dashboards using PromQL metrics to improve visibility into system performance.
Microservices Security Hardening
January 1, 2021 – December 31, 2021
Strengthened Kubernetes cluster security using kube-bench, docker-bench, Grype, and Falco aligned with CIS benchmarks. Implemented runtime threat detection and vulnerability scanning for containerized workloads.
Google Professional Cloud Architect
June 1, 2026 – Present
AWS Solutions Architect Associate
AWS
June 1, 2026 – Present
Certified Kubernetes Application Developer
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through their diverse project portfolio, including significant personal projects in microservices, cloud-native, and AI/ML. This breadth of interest and self-driven learning aligns well with an innovative and growth-oriented environment. Their experience in a large enterprise (TCS) and an agile startup environment (Amazon internship) suggests adaptability to different organizational cultures. The focus on robust systems and solving challenges at scale indicates a pragmatic and results-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to problem-solving at scale and a balance between simplicity and generalization, which are valuable traits for a senior software engineer. Their experience in leading architectural planning and contributing to business/technical decisions suggests strong operational fit and leadership potential. The diverse project portfolio indicates adaptability and a continuous learning mindset.