Atharva Hankare
Software Engineer · Boston, MA
I build production backend systems in Java and Spring, extended with cloud-native infrastructure and applied AI when the problem calls for it.
Open to full-time
SWE roles
Starting December 2026
Featured · changes each visit
Autonomous SRE Agent on Kubernetes
Designed and prototyped an autonomous reliability agent that detects production failures across Kubernetes clusters in u…
Users served
Premium engine
3K+ concurrent
Primary stack
Education
MS · Software Engineering
Northeastern University
Graduating December 2026
Boston, MA
Now / Currently
Building distributed tracing into the SRE agent project
Reading
Designing Data-Intensive Applications
Top languages
- Java 52%
- Python 24%
- TypeScript 18%
- Other 6%
I’m a software engineer with two-plus years of production experience building backend systems that have to actually hold up, race-condition-free under thousands of concurrent users, fast under batch loads of fifty thousand transactions a day, and reliable enough for insurance and telecom workloads where downtime has real consequences. My day-to-day is Java and Spring, but the projects I’ve shipped have pulled me deep into AWS, Kubernetes, and applied AI alongside the core backend work.
The work I’m most drawn to lives at the seam between backend engineering and the systems around it, figuring out how a service should be structured to stay correct under load, where caching belongs, when a problem actually needs an AI layer versus when it just needs better data modeling. I care about systems that are still working, and still understandable even long after I’ve moved on.
Right now I’m finishing my MS in Software Engineering Systems at Northeastern, graduating December 2026, and open to full-time Software Engineering roles starting 2026 in backend, cloud, or applied AI.
Outside of engineering, I enjoy exploring different cuisines and playing cricket.
Production engineering, click any card for the full case study
Software Engineer Co-Op · Ribbon Communications · 2025
Autonomous SRE Agent on Kubernetes
Designed and prototyped an autonomous reliability agent that detects production failures across Kubernetes clusters in under thirty seconds, replacing reactive log-correlation workflows with real-time Kubernetes watch streams, Prometheus metrics, and ML-based classification.
Software Engineer Co-Op · Ribbon Communications · 2025
Enterprise Infrastructure Automation Platform
Reduced Active Directory lab environment provisioning from four weeks to under thirty minutes by architecting a multi-stack CloudFormation IaC framework spanning twenty-plus AWS resources across five logical stacks with JSON schema validation, idempotent deployments, and scheduled drift detection.
Software Engineer · LTM · 2022–2024
RAG-Based Enterprise AI Chatbot
Built a production AI chatbot reducing support ticket volume by sixty percent on an enterprise insurance platform, Spring Boot orchestrator with WebSocket-backed real-time conversations, LangChain and OpenAI for policy inquiry workflows, Redis-backed session state, and confidence-threshold escalation to human agents.
Software Engineer · LTM · 2022–2024
Cloud-Native Premium Calculation Engine
Built and scaled the insurance premium calculation engine serving more than one million users across three thousand concurrent sessions, eliminated race conditions through stateless request design, parallelized independent data fetches with CompletableFuture, and added Redis caching with programmatic invalidation.
Personal builds across stacks, from full products to experiments.
Boston311
FEATUREDCivic complaint portal: enterprise patterns at small scope.
TalentCove
FEATUREDFull-stack job portal with application state machine enforced server-side.
Alimento
ToolRegistry safety model · transactional cook log.
Three roles across backend, cloud, and AI
Software Engineer Co-Op
Built an autonomous SRE agent on Kubernetes and an AWS CloudFormation IaC platform that cut environment provisioning from four weeks to under thirty minutes.
Software Engineer
Shipped backend systems on an enterprise insurance platform: 1M+ users, RAG-based AI chatbot reducing support load by 60%, payment scaling to 50K+ daily transactions, and HA AWS achieving 99.9% uptime.
Software Engineer Intern
Shipped a full-stack internal training assessment platform in 8 weeks: adopted by 100+ employees, reduced trainer workload by 60%, improved training completion rates by 30%.
9 domains · backend-first
