Senior GenAI Engineer
Ronak is a Senior GenAI Engineer with 8+ years of experience building and deploying cutting-edge GenAI, NLP, and ML solutions across multiple industries. He specializes in LLM-based systems like RAG, Text-to-SQL, agentic workflows, and multimodal AI pipelines. Proficient in Python, LangChain, HuggingFace, and cloud-native deployments, Ronak has delivered 10+ scalable, end-to-end AI solutions that drive real-world business impact.
Pioneered the integration of VLM into a real-time exam proctoring system, enabling intelligent detection of suspicious behaviors such as gaze shifts, object usage, and abnormal movement. Designed privacy-first edge computing modules for on-device video/audio analytics, ensuring GDPR compliance. Led multi-student tracking for large-scale monitoring and built a severity-based alert system to help proctors prioritize interventions effectively and efficiently.
Led the development of a natural language interface to query databases using DeepSeek and LangChain. Embedded schema metadata using NVIDIA NV-Embed-v2 and stored in FAISS for semantic matching. Designed a FastAPI backend with GPU-accelerated inference and deployed the system using Docker and Kubernetes for production-scale usage.
Created an OCR-NLP pipeline to extract structured data from insurance documents like Accord 26. Used LayoutLM and BERT models for classification and parsing, supported by AWS Textract for OCR. Built Flask-based multi-tenant APIs and packaged the solution in Docker containers for deployment in enterprise setups.
Built an intelligent recruitment system using CrewAI and LangChain with OpenSearch for semantic retrieval. Developed a multi-agent architecture to manage document generation and relevance scoring. Optimized performance using vector quantization and packaged the stack with Docker for enterprise-scale deployment.
Sankalchand Patel College of Engineering
Bachelor's degree in Information Technology (IT)
Team of the Quarter

Ronak delivered a game-changing AI solution for parsing our complex healthcare documents. His ability to integrate Vision-Language models with scalable deployment made the entire process seamless and compliant. He’s one of the few data scientists who truly understands both business impact and technical execution.

Working with Ronak was a masterclass in applied AI. From architecting a custom RAG pipeline to deploying a high-performance LLM-powered API, his work exceeded our expectations. He helped us unlock a whole new level of automation in our EdTech analytics engine.

Ronak built a secure, real-time Text-to-SQL system for our finance dashboards. His deep understanding of schema embeddings, API design, and prompt tuning allowed us to deliver intelligent querying capabilities to our users with confidence and speed.

Ronak helped us scale a multimodal AI platform that monitors compliance and safety documentation in aviation. His work on integrating LLMs with OCR and vision models was technically sound and production-ready from day one.