Backend engineer working with Java, Spring Boot, Django, React, PostgreSQL, Docker, and product-oriented APIs.

Helix — JVM Cross-Artifact Diagnostic Platform

Most JVM diagnostic tools analyze one artifact at a time. Production incidents rarely fit that boundary.

Helix ingests thread dumps, GC logs, JFR recordings, HPROF heap dumps, and HotSpot crash logs into a unified correlated timeline. Deterministic analyzers run first — deadlocks, GC pathologies, heap retention, allocation hotspots, crash classification. A bounded Gemini tool-calling agent can then investigate root cause by querying only structured diagnostic evidence, not raw log text.

The gap this fills: Eclipse MAT handles heap, JMC handles JFR, GCViewer handles GC logs. None of them correlate across all three during an OOM investigation. Helix does.

Stack: Java 21, Maven multi-module, Drools correlation engine, Gemini function calling, Eclipse MAT headless API

I have contributed fixes and improvements to Apache Spark, one of the most widely used distributed data processing projects.

• Contributions: Apache Spark PRs
• Worked across Spark SQL, Structured Streaming, and Spark Web UI
• Improved parser diagnostics, SQLSTATE/error-class handling, TABLESAMPLE validation paths, and UI behavior
• Added/updated tests for SQL parser and streaming error-handling paths

Primary: Java, Spring Boot, distributed systems, event-driven architecture, Apache Spark, Kubernetes, RabbitMQ, PostgreSQL

Secondary: Python, React, JavaScript — I've worked across the stack but backend and infrastructure is where I spend most of my time

Tooling: Docker, Helm, Argo CD, Jenkins CI/CD, AWS, IBM Cloud, Microsoft Azure

Healthcare discovery platform for comparing treatment prices, hospital facilities, and doctor availability.

• Built backend services for hospital, treatment, facility, and booking workflows
• Designed APIs around healthcare search and comparison use cases
• Worked across server and UI repositories

Private repositories. Sanitized case study available on request.

Car quote and purchase platform designed to help users compare prices and find lower-cost buying options.

• Built full-stack quote comparison workflows
• Worked on frontend screens and backend services
• Structured the product around price discovery and user purchase intent

Private repositories. Sanitized case study available on request.

AI-assisted classroom monitoring system for estimating student understanding from live classroom video and emotion signals.

• Worked on emotion/engagement analysis for lower-primary classroom settings
• Fine-tuned a model with an India-focused dataset
• Mapped observed student signals to concept understanding through guided interaction

Repo: AI-StudMon

Earlier projects across social platforms, travel discovery, job portals, blockchain-based social media, and voting workflows.

• Rainbow: inclusive social platform with accommodation and job-support flows
• Roots: lifestyle and cultural exploration app
• Wanderlust: tourism planning app with travel and accommodation workflows

Java · Spring Boot · Django · Python · React · JavaScript · PostgreSQL · MongoDB · Docker · REST APIs · Firebase

• Email: adithyaajith101@gmail.com
• Linkedin: https://www.linkedin.com/in/adithyaajith1/