SJ loading
SJ shashank
open to opportunities — bengaluru, india

shashank s j. backend software engineer.

Software engineer with 2 years building scalable Java backends and ETL pipelines on AWS — shipping production systems that move 10,000+ records daily at 99.9% uptime. I care about clean APIs, observable systems, and infrastructure that stays boring in production.

view projects
shashanksj6247@gmail.com bengaluru, india
01 — about

i build backends that stay boring in production.

currently @ happiest minds · bengaluru

Software engineer with 2 years building scalable Java backends and ETL pipelines on AWS — shipping production systems that move 10,000+ records daily at 99.9% uptime. I care about clean APIs, observable systems, and infrastructure that stays boring in production.

Currently at Happiest Minds Technologies, working on FHIR R4–compliant healthcare data integration with Spring Boot, Apache Camel, and AWS EKS. Strong on microservices, Terraform IaC, CI/CD, and performance tuning across Hibernate/JPA + Redis caching. OCI 2025 Generative AI Professional. I write the unit tests I want to inherit.

Java Spring Boot AWS Kafka FHIR R4 Terraform
01
2+
years building backends
02
10K+
records processed daily
03
99.9%
production uptime
04
85%+
unit-test coverage
05
40%
api latency cut
06
60%
faster deploys (eks)
02 — tech stack

the tools i reach for.

Battle-tested in production — from FHIR pipelines on EKS to event-driven microservices on Kafka.

Backend & Java

08
Java
Spring Boot
Spring MVC
Hibernate
REST APIs
Microservices
Apache Camel
OpenAPI

AI & Search

10
Spring AI
RAG Pipelines
LLM Integration
pgvector (HNSW)
Hybrid Search
Groq / Mistral
Ollama
Apache Tika
RabbitMQ
SSE Streaming

Cloud & DevOps

09
AWS
Docker
Kubernetes
Terraform
Jenkins
GitHub Actions
Linux
Azure
OCI

Data & Monitoring

06
PostgreSQL
MySQL
Redis
Apache Kafka
Prometheus
Grafana

Quality & Security

04
JUnit
Mockito
JWT / OAuth
HIPAA
03 — selected work

things i've shipped at work.

Production systems built with teams — at scale, on deadline.

01
featured work May 2024 – Present

Happiest Health

Healthcare Data Integration Platform

FHIR R4–compliant ETL and transformation engine spanning 20+ resource types. Built the backend pipeline on AWS EKS with auto-scaling, Terraform-managed IaC, and end-to-end observability.

  • 15,000+ records / hour with auto-scaling on EKS
  • IaC provisioning time cut to under 10 minutes
  • 70% reduction in integration cost
JavaSpring BootApache CamelAWS EKSPostgreSQLTerraform
stack
Java · Spring Boot · Apache Camel · AWS EKS
02
featured work Nov 2024 – Mar 2025

Venture Backed (VBC)

Startup Accelerator Platform

Full-stack platform with JWT/OAuth 2.0 auth, RBAC via Spring Security, and persona-based microservices (Investor, Startup, Admin). Azure Event Grid handles async notifications with retry and DLQ.

  • Persona-based microservice architecture
  • OAuth 2.0 + RBAC with Spring Security
  • Event-driven workflows on Azure Event Grid
Spring BootReactAzurePostgreSQLJWTOpenAPI
github
stack
Spring Boot · React · Azure · PostgreSQL
04 — personal projects

things i build for fun.

Side projects, weekend experiments, and learning playgrounds.

live · personal
live 01 / 03
AI · RAG · Live Personal Project · Live

EAKP — Enterprise AI Knowledge Platform

Production-Grade Multi-Tenant RAG Platform

Self-hosted, production-deployed RAG platform — “ChatGPT for your company’s private data” with citations you can trust. 5 Spring Boot microservices (Java 21, virtual threads) behind a JWT-secured gateway, hybrid retrieval (pgvector HNSW + Postgres FTS) fused via Reciprocal Rank Fusion and LLM re-ranked, async ingestion through RabbitMQ → Tika → Mistral embeddings, with a faithfulness-gated hallucination guard. Streams answers token-by-token over SSE.

/01
Hybrid pgvector + FTS retrieval, RRF-fused & LLM re-ranked
/02
Faithfulness-gated semantic cache — hallucinations never poison results
/03
Async ingestion: RabbitMQ → Tika → Mistral embeddings, DLQ + retries
Spring AI RAG pgvector Groq / Mistral RabbitMQ Java 21 Spring Boot 3 React 19 Redis Docker
view on github live preview ↗
rag pipeline
EAKP
query
natural language
EAKP — Enterprise AI Knowledge Platform
core engine
answer
cited · streamed
sse streaming · grounded healthy
source · personal
02 / 03
side project Personal Project

SpeedyGO

Event-Driven Microservices Platform

Personal project — event-driven backend with Apache Kafka for async messaging, Eureka service discovery, Redis caching, and Prometheus monitoring. Fully containerized and shipped through Jenkins CI/CD.

/01
Apache Kafka async messaging backbone
/02
35% API latency reduction via Redis caching
/03
Prometheus dashboards + Jenkins CI/CD
Spring Boot Kafka Redis Docker Eureka Prometheus Jenkins
view on github
event flow
SPEE
producer
spring boot · http
SpeedyGO
core engine
consumer
async · idempotent
kafka · eureka · redis healthy
source · personal
03 / 03
side project Personal Project

Finance Dashboard API

Spring Boot REST API with JWT auth & role-based access

Personal project — secure financial-records backend with JWT-authenticated REST endpoints, hierarchical role-based access (ADMIN > ANALYST > VIEWER), soft-delete semantics, and a monthly-trend analytics view. Documented end-to-end with OpenAPI 3 / Swagger UI.

/01
JWT auth + hierarchical RBAC (ADMIN / ANALYST / VIEWER)
/02
Soft-delete records & inclusive date-range filtering
/03
Swagger UI docs + 12-month trend analytics endpoint
Java 17 Spring Boot 3.2 Spring Security JWT Spring Data JPA H2 Swagger / OpenAPI 3 Lombok
view on github
event flow
FINA
producer
spring boot · http
Finance Dashboard API
core engine
consumer
async · idempotent
kafka · eureka · redis healthy
04 — experience

the path so far.

Software Engineer — Java & Backend Systems

current
Happiest Minds Technologies · Bengaluru, India · Aug 2024 – Present
  • Built FHIR R4–compliant ETL pipelines on Spring Boot + Apache Camel, processing 10,000+ records daily on AWS with 99.9% uptime behind API Gateway-managed endpoints.
  • Profiled and resolved Hibernate/JPA bottlenecks, tuned SQL, and introduced Redis caching — cutting API response times by 40%; instrumented Prometheus/Grafana dashboards.
  • Designed a PII redaction and data-sanitisation system across logs, metrics, and data stores — 0 HIPAA incidents and 100% audit pass rate.
  • Hardened CI/CD on Jenkins + GitHub Actions with Docker, EKS, and Terraform-managed infra — 95% deployment success and 60% faster releases.
  • Wrote JUnit + Mockito suites at 85%+ coverage, maintained OpenAPI docs, and reduced MTTR by 45% through structured incident triage across 8+ Agile sprints.

Engineer Trainee — Java Full Stack

Happiest Minds Technologies · Bengaluru, India · May 2024 – Aug 2024
  • Shipped production-grade REST APIs in Spring Boot with peer-reviewed code and 85%+ unit-test coverage.
  • Built Hibernate/JPA data-access layers with PostgreSQL query optimisation — promoted to Software Engineer within 3 months.
05 — contact

let's build something resilient.

Got a backend problem, a hiring need, or just want to chat about distributed systems? My inbox is open.

shashanksj6247@gmail.com
Bengaluru, India