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