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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.…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.

Parth A. Bhalodiya

AI Engineer, Data Scientist, Developer, +5

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

AI Collection (Video)

Expert

AI Collection (Audio)

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Research Engineer at Tekh Limited

August 1, 2024 - Present

Led design and execution of multiple proof-of-concept AI projects for government and internal stakeholders. Developed VISTA, a data-driven tool integrating economic, social, and real-time sentiment data to forecast UK visa migration risks. Architected a multilingual conversational AI platform using Whisper Turbo v3, Eleven Labs, Llama 3.1, and Agentic AI workflows achieving 85% query resolution. Developed an AI tool to automate compliance checks for Section 12 Reservoir Reports reducing manual effort by 90% using a 70B parameter LLM and RAG pipeline on AWS Bedrock and Pinecone. Created a customizable AI Debate Arena for evaluation of 15+ foundational models implementing a two-debater, one-judge framework to assess robustness and safety.

AI/ML Researcher at University of Nottingham

July 31, 2024 - August 7, 2025

Developed 'FridgeVision', an AI-powered computer vision system assisting dementia patients, achieving 88.9% mAP in object detection with YOLO v8 and SAM and 91.3% accuracy in OCR for reading expiry dates.

Machine Learning Engineer at Versatile Techno

November 1, 2021 - August 7, 2025

Developed and optimized ML models for churn prediction and predictive maintenance creating a pipeline with Spark ML and BERT that achieved 92% accuracy and deployed it on Kubernetes architecture. Created a predictive maintenance model for CCTV equipment reducing downtime by 40%.

AI Research Engineer at Tech Limited

August 1, 2024 - Present

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.

AI/ML Researcher at University of Nottingham

July 1, 2024 - September 19, 2025

Developed an AI-powered computer vision system, FridgeVision, to assist dementia patients with food management, including object detection, segmentation, and tracking of refrigerator contents over time. Trained deep learning models (YOLOv8, SAM) and auto-encoders on a large food image dataset; implemented OCR for nutrition labels and reminders for fridge contents.

Research Intern (Machine Learning) at DA-IICT

June 1, 2022 - September 19, 2025

Worked on a project titled 'Histopathological Image Enhancement and Classification of the Conventional Microscope'. Developed a low-cost auto ML microscopy solution by adapting deep learning and computer vision techniques to analyze, enhance, and classify histopathological images; implemented a U-NET based nuclei segmentation and mathematical image normalization methods.

Machine Learning Engineer at Versatile Techno

November 1, 2021 - September 19, 2025

Developed and optimized ML models for churn prediction, grammar/spelling correction, email classification, and predictive maintenance; achieved significant improvements in accuracy, latency, and throughput. Implemented NLP pipelines using Apache Spark ML, BERT embeddings, and LSTM networks; built production-grade training and serving pipelines with Kubernetes.

AI Research Engineer at Tekh Limited

August 1, 2024 - Present

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.

AI Research Engineer at University of Nottingham

July 31, 2024 - September 19, 2025

Developed an AI-powered computer vision system (FridgeVision) to assist dementia patients with food management, including object detection, segmentation, and tracking of refrigerator contents. Trained DL models (YOLOv8, SAM, autoencoders), implemented OCR (Tesseract), and achieved strong metrics: 88.9% mAP for object detection, 93% IoU for segmentation, and 91.3% OCR accuracy.

Research Intern (Machine Learning) at DA-IICT

June 30, 2022 - September 19, 2025

Worked on a funded project titled Histopathological Image Enhancement and Classification of the Conventional Microscope. Built low-cost automated ML workflows and contributed to image processing and classification tasks.

Machine Learning Engineer at Versatile Techno

November 30, 2021 - September 19, 2025

Developed and optimized ML models for churn prediction, grammar/spelling correction, email classification, and predictive maintenance, achieving improvements in accuracy, latency, and throughput. Implemented an NLP pipeline using Apache Spark ML, BERT embeddings, and LSTM networks to categorize marketing emails with 92% accuracy and set up a Kubernetes-based training and serving infra for production. Designed a predictive maintenance model reducing downtime by 40% and optimized neural architectures to cut training time while improving accuracy by 7.5%.

AI Research Engineer at Tekh Limited

August 1, 2024 - Present

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.

AI/ML Researcher (Unpaid Dissertation work) at University of Nottingham

July 31, 2024 - September 19, 2025

Developed FridgeVision, an AI-powered computer vision system to assist dementia patients with food management through object detection, segmentation, and tracking of refrigerator contents. Implemented YOLOv8, SAM, and autoencoders on a large food image dataset; integrated Tesseract OCR and speech synthesis to extract nutrition information, read labels, detect expiry dates, and provide automatic audio reminders. Achieved 88.9% mAP in object detection, 93% IoU in segmentation, and 91.3% accuracy in OCR. Currently developing an LLM-based interaction layer using Llama3.

Research Intern (Machine Learning) at DA-IICT

June 30, 2022 - September 19, 2025

Worked on a funded project titled 'Histopathological Image Enhancement and Classification of the Conventional Microscope.' Developed a low-cost automated microscope solution by combining deep learning and computer vision techniques, including U-NET for nuclei segmentation, image normalization to counter H&E stain variations, and classification.

Machine Learning Engineer at Versatile Techno

November 30, 2021 - September 19, 2025

Developed and optimised ML models for churn prediction, grammar/spelling correction, email classification, and predictive maintenance; built an NLP pipeline using Apache Spark ML, BERT embeddings, and LSTM networks to categorise marketing emails with 92% accuracy; established a Kubernetes-based training and serving infrastructure for production deployment. Designed a predictive maintenance model for CCTV equipment that reduced downtime by 40% and improved training time by over 20 minutes with a 7.5% accuracy improvement.