HydervaliYalamkur
Building AI systems that actually ship — from LLM-powered platforms to 5G cloud infrastructure. 4+ years across Deloitte, KPMG, Myelin Foundry & EchoStar.
The person
behind the code.
I'm a Computer Science graduate student at Georgia State University (GPA 4.2/4.0) with 4+ years of professional engineering experience across Deloitte, KPMG, and EchoStar (Dish Wireless).
I build things end-to-end — from LLM-powered agentic platforms and distributed data pipelines to React frontends and cloud infrastructure. I've shipped production code at Fortune-500 scale, led cross-functional teams across 10+ concurrent projects, and won a national AI hackathon with Reasoning System.
I thrive at the intersection of AI and engineering — not just using AI tools, but building directly on top of LLM APIs (Claude, OpenAI), implementing MCP workflows, RAG pipelines, and agentic systems that actually go to production.
Where I've
done the work.
- Shipped the RCII (Robinson Country Intelligence Index) full-stack platform using Angular, Node.js, and AWS — cutting manual reporting time by 40% across 5 regional teams.
- Integrated LLM-powered workflows via Anthropic Claude API and OpenAI API, enabling natural-language querying of country-level intelligence data for non-technical stakeholders.
- Built CI/CD pipelines with GitHub Actions and AWS, reducing release cycle time by 50% and eliminating rollback incidents across 3 production environments.
- Collaborated in Agile/Scrum team of 12, delivering 3 major feature releases on schedule.
- Engineered a spatiotemporal pattern mining pipeline with multi-hypothesis tracking of NASA SDO solar events, reducing flare forecast error by 15% and boosting detection rates by 20%.
- Built an agentic retrieval pipeline combining CBIR, RAG, and vector similarity search over 500K+ NASA SDO images — reducing image search latency by 60%.
- Developed NLP tools using spaCy, Transformers, and LLM APIs for language analysis of large scientific corpora.
- Optimized solar wind simulation workflows using parallel Python, cutting processing time by 30% and infrastructure cost by 25%.
- Architected 20+ enterprise solutions in Python (Django), Angular, and Salesforce — boosting delivery efficiency by 50% and maintaining top client satisfaction.
- Led development of an audit management platform for 5 Fortune-500 clients with Django backend, 25+ integrated APIs, and Salesforce frontend — reducing audit cycle time by 35%.
- Managed 10 concurrent projects with 8-engineer team at 98% on-time delivery; redesigned ServiceNow workflows cutting ticket resolution by 45% for 3,000+ users.
- Optimized 25+ Angular/TypeScript SPAs, resolving 95% of critical bugs and improving frontend performance by 30% via lazy loading and code splitting.
- Managed CI/CD for 15 production apps using Jenkins, Docker, and OpenShift — 50% faster deployments; migrated 20 applications to OCP4, reducing downtime by 60%.
- Maintained 95%+ unit test coverage across all production microservices using Pytest, Jasmine, and Karma.
Things I've
actually shipped.
A production-grade multi-agent safety platform using MCP (Model Context Protocol), LangGraph, and Claude API — enabling autonomous LLM agents to modify large codebases with enforced correctness, compliance, and full traceability.
An intelligent fitness application leveraging LLMs for personalized workout generation, progress tracking, and adaptive coaching — built with a modern full-stack architecture.
A RAG-based retrieval pipeline over 500K+ NASA Solar Dynamics Observatory images — combining CNN feature extraction with vector similarity search to accelerate heliophysics research.
The full
arsenal.
05 — Let's Work Together
Open to full-time roles, internships, research collaborations, and forward-deployed engineering opportunities.