Akshay Kalane

About Akshay Kalane

High-impact AI Engineer with 5 years of experience in Machine Learning and Software Engineering, specializing in architecting production-grade GenAI, RAG, and Agentic systems. Expert in designing end-to-end retrieval stacks, integrating Large Language Models (LLMs) with external tools via APIs, and shipping observable microservices on cloud infrastructure. Proven track record of bridging the gap between research and production, delivering 25+ enterprise pilots through rigorous data discipline and metric-driven iteration.

Experience

1. Ai Engineer

   IBM

   Oct 2023 — Present · Bengaluru, IN

   Enterprise GenAI Architecture: Spearheaded the design and delivery of 25+ client-focused AI pilots, translating complex business requirements into scalable solutions using LLMs, RAG, and agentic workflows.• Advanced RAG & Compliance Agents (Honda, NTT Docomo): Architected multi-agent RAG pipelines for regulatory compliance and technical document extraction; implemented hybrid search (keyword + vector), reranking agents, and source-aligned citation logic to compare subsidiary data against global policies, reducing manual audit overhead.• OpenRAG Multimodal Financial Document RAG (SEC 10-K): Built an end-to-end multimodal RAG system over SEC 10-K PDFs by extracting and indexing text, tables, and images; designed OpenSearch hybrid retrieval (BM25 + vector kNN) with query expansion, type-aware ranking, adjacent-page stitching, and exposed ingestion/retrieval/answering as FastAPI microservices containerized with Docker.•Workflow Automation & OCR (Gov of Nagano): Engineered a human-in-the-loop approval pipeline integrating OCR with LLMs for handwritten application processing; deployed agents via Watsonx Orchestrate to cross-verify sales figures against application data and automate high-volume decision workflows.• Agentic Chatbot Systems (HelloWork, JAL): Developed context-aware conversational agents for recruiting and aviation use cases; enabled context-specific message drafting and post-interaction report generation using robust state management and cloud object storage integrations.• Cloud Deployment & Ops: Led end-to-end deployment of AI services using Docker and IBM Cloud, ensuring reliability and observability for critical client demos and hand-offs.

Education

• Vishwakarma Institute Of Technology

  Bachelor of Technology - BTech, Electronics and Telecommunication Engineering

  2014 — 2018

• CDAC,Noida

  PG Diploma, Artificial Intelligence

Skills

• C
• Microsoft Powerpoint
• Microsoft Word
• Japanese Language Proficiency Test
• Plc Programming
• Matlab
• Cisco Networking
• Microsoft Excel