Pranjal Ambwani
@pranjalambwani
I build production generative AI, RAG, and agentic applications for enterprise and government users.
IndiaWhat I'm looking for
I've built and shipped generative AI, RAG, and agentic applications through EY and BeyonData Solutions, including government-facing chatbots, forecasting tools, and workflow automation.
At EY, I deployed a salary estimation model with OCI Data Science and Oracle Autonomous Database, created a CSV-based sales forecasting app that reduced reporting turnaround from days to minutes, and automated HR data pulls to save roughly 8–10 hours per week.
At BeyonData, I built bilingual English-Gujarati RAG chatbots using LangChain and Pinecone for legal, policy, and municipal-record queries. I also designed a tender-document pipeline that reduced PDF search from 30 minutes to under a second and digitized 500 regional Gujarati newspaper articles through OCR.
I've led AI and backend development for LoRRI AI, a hackathon-finalist logistics route optimizer projecting Rs. 50 lakh in annual savings. I'm currently pursuing an M.Tech in Artificial Intelligence and enjoy turning models into practical applications stakeholders can use.
Experience
Work history, roles, and key accomplishments
Built a salary estimation model using OCI Data Science and deployed it on Oracle Autonomous Database. Created a sales forecasting web app with Scikit-learn and Streamlit, reducing report turnaround from days to minutes.
AI/ML Trainee
BeyonData Solutions Pvt. Ltd.
Dec 2024 - Apr 2025 (4 months)
Built a bilingual RAG chatbot using LangChain and Pinecone for government clients, and a separate RAG agent for Ahmedabad Municipal Corporation. Designed a tender document RAG pipeline and an OCR pipeline with Tesseract.
Education
Degrees, certifications, and relevant coursework
NMIMS Mukesh Patel School of Technology
Master of Technology, Artificial Intelligence
2025 -
Grade: 8.64
Pursuing M.Tech in Artificial Intelligence with a current CGPA of 8.64.
LDRP Institute of Technology and Research
Bachelor of Engineering, Computer Engineering
2021 - 2025
Grade: 7.94
Completed B.E. in Computer Engineering with a CGPA of 7.94.
Availability
Location
IndiaAuthorized to work in
Portfolio
pranjal-portfolio-two.vercel.appJob categories
Skills
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