Shikhar P.

AI Consultant

E2M • Tiempo completo

Aug 2026 - Present • 3 mos

I build AI chatbots, agents and automation workflows, with a focus on RAG systems that answer accurately from your own documents. I currently work as an AI engineering intern at a digital services company, working on applied LLM tools. What I’ve built: - Needle, a production RAG system deployed end to end. It uses hybrid retrieval (BM25 plus vector search, fused with RRF), parent-child chunking, reranking and confidence gating, so answers stay grounded in your sources and the bot says so when it doesn’t know. - LLM agents with LangChain, including tool calling and retrieval. A multi-provider search layer with fallbacks, circuit breakers, rate limiting and caching, built for reliability. Tools: Python, FastAPI, LangChain, ChromaDB, SQLite, embeddings, LLM APIs, REST APIs, cloud deployment. Background: I’m comfortable with documentation, process and deadlines. I’m a CSE graduate from Nirma University with a strong DSA background. How I work: I scope clearly before starting, give honest estimates, keep code readable, and share progress early. If a project needs a tool I haven’t used, I learn it quickly and deliver.

Analyst Intern

KPMG • Tiempo completo

Jan 2026 - Jul 2026 • 6 mos

During my internship, I worked on high-impact automation and systems integration projects across multiple enterprise clients: Key Achievements: I. Automation & Scripting: 1. Built an Excel Automation Pipeline using Python, openpyxl, and pandas to process enterprise compliance data, reducing manual data entry by 80% 2. Developed Python automation for software license tracking and reconciliation across distributed systems 3. Automated data classification and compliance workflows, cutting processing time from hours to minutes II. Complex Systems Integration: 1. Designed and implemented Catalog Automation (Product Lifecycle Query Engine) : a multi-layer data pipeline that aggregates product lifecycle data, performs intelligent extraction with confidence gating, and manages enterprise wide software inventory 2. Integrated multiple data sources (APIs, web crawling, structured databases) with intelligent error handling and caching 3. Resolved critical infrastructure issues (BigFix greyed-out instances, VM Manager Pending errors) across enterprise client environments III. Enterprise Compliance: 1. Collaborated with 5+ enterprise clients on software licensing audits, ELP (Enterprise License Program) documentation, and compliance strategy 2. Worked as an Authorized Service Provider (ASP) for Tier-1 OEM software compliance, gaining hands-on expertise in ILMT, IBM Passport Advantage, and PVU/RVU licensing models IV. Impact: 1. Delivered production-ready automation tools that scaled across enterprise systems 2. Maintained 99.9% uptime on critical compliance systems during client deployments 3. Trained and documented processes for enterprise IT teams