Software Engineer | Building backend services, data pipelines, and AI-enabled applications
📍 San Francisco, CA
I'm a Software Engineer with experience building production backend services, distributed data pipelines, and AI-integrated applications across enterprise and startup environments. I work primarily with Python and Java, and ship systems on AWS, Azure, and OCI.
I focus on solutions that are reliable, maintainable, and built for real-world constraints.
Designed an async document processing pipeline for clinical PDFs using S3 ingestion, Gemini + Tesseract OCR extraction, and PostgreSQL structured output. Reduced medical report review time from minutes to seconds.
Tech: FastAPI AWS S3 AWS RDS/PostgreSQL React AWS EC2 Gemini Tesseract OCR
Built real-time computer vision with serverless inference on AWS Lambda. Decoupled the detection pipeline from the web layer for independent scaling and near-zero idle infrastructure cost.
Tech: OpenCV TensorFlow AWS Lambda FastAPI React
Built an NLP pipeline that scores resume-to-JD semantic match using OpenAI embeddings via LangChain. Designed low-latency async processing with FastAPI background tasks, plus real-time scoring, keyword heatmaps, and diff views.
Tech: FastAPI React OpenAI LangChain
Designed a semantic recommendation layer using OpenAI embeddings with Redis read-aside caching for sub-100ms recommendation latency. Built full cart and checkout flows with PostgreSQL transactional storage, deployed on Docker and AWS ECS.
Tech: Node.js Express React Redux Redis PostgreSQL Docker AWS ECS
Built and maintained production ETL pipelines and orchestration workflows across enterprise and startup environments with emphasis on reliability, observability, and scale.
Tech: Apache Spark Kafka Apache Airflow Scala Java Python Oracle DB OCI Azure
Oracle | May 2025 – Present
- Designed and built scalable ETL pipelines with Apache Spark and Kafka for high-throughput distributed processing.
- Developed and maintained Airflow DAGs for reliable orchestration, scheduling, and end-to-end observability.
- Engineered distributed data systems in Scala and Java with focus on availability, resiliency, and performance.
- Built self-service data consumption frameworks enabling structured, business-ready data access.
Anguliyam | Jun 2024 – Apr 2025
- Implemented monitoring and alerting using Splunk and Datadog for real-time pipeline and service visibility.
- Designed and optimized SQL and NoSQL schemas for low-latency operational and analytical workloads.
- Collaborated with business partners in agile sprints to define data contracts and deliver production-ready systems.
- Authored maintainable, testable code and contributed to peer reviews and team engineering standards.
Adobe | Jan 2022 – Aug 2022
- Took architectural ownership of critical data components and documented design decisions and trade-offs.
- Automated CI/CD workflows with GitHub Actions for testing, deployment, and integration across repositories.
- Built LLM-driven data solutions delivering actionable insights for Ad Tech Sales and Operations.
- Built ETL pipelines that improved observability into display advertising metrics and campaign performance.
EPAM Systems | Dec 2020 – Mar 2021
- Partnered with cross-functional teams to bridge technical gaps and accelerate shared data platform initiatives.
- Proactively identified and resolved data quality and reliability issues to improve response and platform stability.
- Introduced reusable pipeline templates, coding guidelines, and documentation standards.
- Developed distributed cloud data systems for scalable ingestion, transformation, and serving.
🎓 Master of Science in Computer Science
Florida Institute of Technology | Melbourne, FL | 2024
🎓 Bachelor of Technology in Computer Science
KL University | Vijayawada, India | 2022
I'm open to discussing new opportunities, collaborative projects, and technical challenges.
⭐️ From laharikarrotu