Java & Backend Engineer
I build production backend systems, distributed workflows, reliable data pipelines and independent software products.
I work as a Backend Engineer at Tata Consultancy Services for Avis Budget Group, building and operating Java and Spring Boot systems across reservation, fleet, data-processing and production-support workflows.
My work sits where product requirements, backend architecture and production behavior meet: GraphQL delivery, relational databases, AWS, Kubernetes, concurrency, reliability, performance optimization and production debugging.
Alongside professional work, I independently build and deploy software products across technical hiring, financial research, compliance workflows and developer tooling.
- Designed and owned a safeguarded Spring Boot pipeline processing 90K+ database records.
- Cut processing time from roughly 50 minutes to 20 minutes using bounded concurrency, retries and failure isolation.
- Reduced the pipeline footprint from roughly 9 GB to 900 MB using Apache Avro.
- Apache Avro (Core Serialization Engine): Fixed memory safety and data correctness issues in
BytesWritableConverter(AVRO-4268) by enforcing strict logical length bounds on underlying byte buffers, preventing memory over-allocation and silent buffer padding corruption during high-throughput serialization.
Realistic debugging assessments and technical hiring workflows built around production-style engineering problems.
Financial-intelligence platform analysing earnings calls, management commitments and subsequent execution across Indian listed companies.
- Analysed 1,161 quarters across 765 companies.
- A linked research post reached 28K+ views, 103+ upvotes and 26 comments, and ranked as the subreddit's #3 post of the day.
- Reddit post: management commitment tracking research
Compliance and PII-detection workflows for secure document analysis.
A structured ranking and comparison platform for protein products.
Backend: Java, Spring Boot, Node.js, TypeScript, JavaScript, Python, GraphQL, REST APIs, gRPC
Data and distributed systems: Kafka, Apache Avro, PostgreSQL, MySQL, IBM DB2, Redis
Cloud and delivery: AWS, Kubernetes, Docker, Jenkins, ArgoCD, Terraform
Testing and observability: Prometheus, Grafana, production debugging, API tracing, SQL debugging, log analysis
AI engineering tools: OpenAI Codex, Claude, Claude Code, DeepSeek, MiniMax M3, Kimi, Azure OpenAI
- Portfolio: harshsrivastava.dev
- LinkedIn: linkedin.com/in/harshdevelops
- GitHub: github.com/HarshDevelops
- LeetCode: leetcode.com/u/harshdevs
- Email: harshworkofficial20@gmail.com
