About
I am a B.Tech Computer Science (AI & ML) graduate (9.4 CGPA) passionate about bridging advanced AI research with scalable SaaS solutions. My expertise lies in applying LLM-powered automation within enterprise environments to streamline workflows, eliminate manual overhead, and optimize engineering pipelines. In production SaaS environments, I engineer robust Python scripts to parse data, streamline API updates, and accelerate migration workflows. I architected an AI-driven self-service enablement library, reducing repetitive customer-facing queries by 30%. Furthermore, I analyze system architectures to build technical specifications for REST APIs, ZTNA, and NAC deployments. As a published researcher, my focus is multimodal Retrieval-Augmented Generation (RAG) and knowledge-graph-aware systems. I engineered MAHORAGA, an open-source, domain-agnostic hybrid RAG framework. Fusing vector search, graph expansion, and exact-match routing, it outperformed baselines like Vector RAG and GraphRAG. It achieved 0.64 Recall@5 and 78% modality coverage on a rigorous 60-PDF benchmark, suppressing the hallucination rate to just 12%. Beyond foundational RAG, I build agentic AI systems that solve real-world bottlenecks. I designed a multi-agent LangGraph workflow that automatically reconciles engineering deltas from Azure DevOps and Confluence against baseline manuals. Leveraging ChromaDB and Gemini semantic embeddings, this local framework generates context-aware drafts and revision logs via Streamlit, entirely eliminating manual tracking. I have also scaled user enablement through AI-narrated product walkthroughs. Core Technical Arsenal: Languages & ML: Python, SQL, TensorFlow, PyTorch, scikit-learn, OpenCV, and Matplotlib. GenAI & LLMs: RAG, LangChain, LangGraph, Prompt Engineering, Sentence-BERT, Ollama, and the Gemini API. Tools & Databases: ChromaDB, Git, Streamlit, REST APIs, Azure DevOps, Confluence, Markdown, and Agile/Scrum.
Work experience
AI Solution Trainee at CloudZenia, Aug 2026 - Present · 4 mos, Bengaluru, Karnataka, India
Engineer and Technical Writing at Ivanti, Aug 2025 - Jul 2026 · 1 yr, Bengaluru, Karnataka, India, Automated documentation workflows with Python scripts for content processing, accelerating API reference updates and migration guides across 2 Ivanti Policy Secure (IPS) releases (Q1 and Q2 2026). Authored 20+ feature documents, release notes, and administration guides covering REST API updates, Zero Trust Network Access (ZTNA) policies, and Network Access Control (NAC) deployment scenarios. Built a self-service onboarding video library with AI-generated narration (Guidde), cutting repeat support queries and enabling 24/7 self-serve training for customer-facing teams. Collaborated with product managers and engineers in Agile sprints to validate technical accuracy for 100% of assigned deliverables prior to publication.
