Parth A. Bhalodiya
Hi, I'm Parth A. Bhalodiya, a dynamic AI/ML Engineer with over five years of experience delivering data-driven solutions for compliance, risk assessment, and conversational AI.
About
Hi, I’m Parth A. Bhalodiya, a dynamic AI/ML Engineer with over five years of experience delivering data-driven solutions for compliance, risk assessment, and conversational AI. I specialise in Large Language Models (LLMs), multimodal systems, and AI safety protocols, with hands-on experience in Agentic AI, fine-tuning models with LoRA/QLoRA, and building end-to-end MLOps pipelines on AWS. I have led high-stakes PoCs for government clients and developed production-ready SaaS platforms that align advanced AI systems with regulatory standards and critical mission objectives.
In my work, I thrive on turning complex challenges into reliable, scalable solutions and collaborating with cross-functional teams to ship safe, robust AI systems. Outside of work, I enjoy exploring AI’s impact on public policy, healthcare, and education and am passionate about responsible AI, red-teaming models, and cross-disciplinary collaboration.
- 5 years' experience
- Joined August 2025
Skills· 26
Languages
- EnglishFluent
Industry experience
- Government
- Healthcare
- Software & Internet
- Professional Services
- Education
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Work experience· 15 roles
Led the design and execution of multiple PoCs for government and internal stakeholders, including: Home Office Project 'VISTA'—a data-driven tool combining economic, social, and real-time sentiment data to forecast migration risks for UK visa policy; Multilingual Conversational AI Platform—text, voice, and 3D avatar bots integrating Whisper Turbo v3, ElevenLabs, Llama 3.1, and Agentic AI workflows to achieve an 85% query resolution rate; TranscribeAI SaaS Platform—production-ready transcription service using FastAPI, Next.js 14, PostgreSQL, Groq's Whisper API, and a RAG pipeline with Qdrant for knowledge retrieval; Reservoir Compliance Automation for DEFRA/EA—automated Section 12 reservoir report checks using a 70B parameter LLM and AWS Bedrock + Pinecone; AI Safety & Evaluation—customisable AI Debate Arena to evaluate 15+ foundational models with a two-debater, one-judge setup.
Led design and execution of several proof-of-concept projects for government and internal stakeholders, focusing on advanced AI applications, multi-modal capabilities, and regulatory-aligned safety. Built end-to-end AI pipelines and demonstrated agentic AI capabilities for real-world use cases.
Led the design and execution of several proof-of-concept projects for government and internal stakeholders, focusing on advanced AI applications, including end-to-end AI platforms, multilingual conversational AI, and AI safety evaluations.
Education· 8
Certifications and awards· 7
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