Bhesaniya R.

🚀 Transforming Businesses with Production-Ready, Autonomous AI Systems At Parallic, I help mid-market and enterprise teams transition from being "AI curious" to becoming truly AI native. As a Forward Deployed Engineer with 4+ years of full-stack experience (MERN stack, Python, AWS), I design, build, and deploy high-agency agentic AI systems that scale operational throughput predictably. 🎯 Key Domain & Project Expertise 1. AI for HR Tech & Recruitment Automation Built autonomous voice AI agents for multi candidate outbound calling, automated screening, and dynamic calendar scheduling. Developed AI video interview agents leveraging realistic human avatars, end-to-end feedback loops, and recruiter analytics. Implemented RAG-based search pipelines for instant resume parsing, talent matching, and candidate scoring. 2. AI for Financial Research & Due Diligence Engineered GraphRAG pipelines to execute deep research across complex financial documents, filings, and unstructured datasets. Fine-tuned open-weight LLMs specifically for financial reasoning, domain compliance, and hallucination reduction. Delivered automated tools for pitch deck analysis, investment benchmarking, and report generation. 3. Autonomous Deep Research & Enterprise Knowledge Workflows Created multi-agent systems using LangChain, LlamaIndex, and Vector Databases for complex knowledge retrieval. Applied prompt chaining, few-shot learning, and structured JSON outputs for high precision in domain-specific workflows. Containerized and deployed enterprise solutions on AWS with Docker for production reliability. 🛠️ Core Tech Stack & Tools AI & Agents: LangChain, LlamaIndex, GraphRAG, Multi-Agent Systems, OpenAI APIs, Voice/Video Avatars, Fine-Tuning Backend & Cloud: Python, Node.js, Express.js, PostgreSQL, MongoDB, Vector DBs, AWS (Lambda, Amplify, EC2), Docker Frontend: React.js, Redux, JavaScript/TypeScript, Material UI, Tailwind CSS