About me
I build dependable software services that stay fast under load, survive incidents, and make life easier for the people who use them. Over the last 4+ years I’ve worked across the stack with Java/Spring Boot and Python on the backend, React/Angular on the front, and AWS/GCP in the cloud. I like turning messy data into clear answers, and turning slow, fragile systems into ones teams can trust.
Lately, I’ve shipped LLM + RAG microservices on AWS (Lambda, S3, API Gateway) with vector search and guardrails, keeping median latency under 500 ms and uptime at 99.9%+. Before that, I tuned Java services with smarter pooling and caching (+40% throughput, –200 ms p95), containerized workloads with Docker/Kubernetes, and added observability with Prometheus/Grafana so we could spot issues before customers did.
Two projects I’m proud of:
1. An AI student platform that guides 2,000+ learners with retrieval-augmented answers and course alerts, reducing advisor tickets by 30%.
2. A smart-farming IoT pilot (Arduino + Python/Scikit-learn) that automated irrigation, raised crop yield by 28%, and saved ~$1,200 per farm per year.
I work in short, steady iterations story pointing, clear definitions of done, CI gates, and fast feedback. My toolbelt includes Java 8/17, Spring Boot, Python, Node.js, React/Angular, PostgreSQL/Oracle/MongoDB, Kafka, Airflow, Docker/Kubernetes, Jenkins/GitHub Actions, Prometheus/Grafana/Kibana, and AWS/GCP. Security basics (MFA, RBAC, masking) and on-call ownership are part of how I build.
If you’re solving performance, reliability, or data retrieval problems and want someone who enjoys the details, let’s talk: narendrareddy.yadama@gmail.com
What i'm doing
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Microservices & APIs
Java/Spring Boot services with REST/GraphQL, PostgreSQL/Oracle, Kafka—secure, scalable, 99.9% uptime.
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Web Apps (React/Angular/JavaScript)
Responsive SPAs in TypeScript with clean UX and seamless API integration.
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Data Engineering & Dashboards
ETL with Python/Airflow/SQL; Tableau analytics powering insights for 2,000+ users.
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AI & Chatbots (LLM/RAG)
GPT-powered assistants with retrieval pipelines on AWS/GCP and production monitoring.
Testimonials
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Engineering Manager, Prodapt
Narendra rebuilt our Java/Spring services into clean micro-APIs, cutting latency by ~200 ms and improving throughput ~40%. Reliable, detail-oriented, and great in code reviews.
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Faculty Advisor, Bradley Univ
His LLM/RAG student help bot and Python/SQL dashboards serve 2,000+ students. He pairs rigorous experiments with practical delivery—rare combo.
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Product Owner, University Dashboard Project
Turned messy spreadsheets into automated ETL and Tableau views. Stakeholders finally had one source of truth—on time and production-ready.
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Client Lead, Web App Delivery
Full-stack pro—React front end, Spring Boot back end, CI/CD on AWS. Shipped v1 in weeks and kept 99.9% uptime after launch.
