Prajwal Hiremath
Data Scientist specializing in RAG, Multi-Agent LLM Systems & Generative AI | Python & AWS
- Role
- Data Scientist at Deloitte
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
About Prajwal Hiremath
As a Data Scientist with over 4 years of experience, I specialize in architecting and developing cutting-edge Generative AI solutions. My expertise lies in building Retrieval-Augmented Generation (RAG) and multi-agent systems using frameworks like CrewAI and Langchain to solve complex business problems. Key Achievements & Expertise: Advanced AI Solutions: Engineered high-precision conversational AI and multi-agent RAG systems, achieving up to 99% query accuracy and significantly improving research efficiency by integrating vector databases (FAISS, ChromaDB), SQL analytics, and web search capabilities. Full-Stack Development: Developed full-stack solutions with Python (FastAPI, Flask) for scalable backends and Streamlit for interactive frontends, powered by LLMs like Anthropic Claude on AWS Bedrock. Operational Impact: Proven ability to translate business needs into technical solutions that drive operational efficiency, evidenced by a 60% reduction in data analysis time for pharmaceutical clients and a 95% accuracy rate for custom SQL agents. I am passionate about leveraging AI to create intelligent, data-driven applications. I am actively seeking opportunities to contribute my skills in GenAI and multi-agent systems to an innovative team. Technical Skills: AI/ML: Generative AI, RAG, CrewAI, Langchain, Transformers, TensorFlow, Scikit-learn Python & Frameworks: Pandas, NumPy, Flask, FastAPI, Django Cloud & Databases: AWS (Bedrock, SageMaker, S3), Docker, OpenSearch, PostgreSQL, MySQL DevOps: Git, CI/CD
Experience
Data Scientist
Jan 2025 — Present · Bengaluru, IN
Architected and developed an advanced SQL agent using Langchain and Anthropic Claude on AWS Bedrock, achieving 95% query accuracy and enabling natural language querying of a 7-table relational database.Engineered a high-precision, multi-agent conversational AI system using a robust pipeline to deconstruct user questions, generate precise SQL queries, and deliver human-readable answers from complex datasets, achieving 99% accuracy.Developed an intelligent multi-agent RAG system using CrewAI, integrating FAISS vector search, SQL analytics, and web search to serve the pharmaceutical industry, significantly improving research efficiency.
Education
Prasad Concept School
10th
2013 — 2014
Narayana Junior College - India
Intermediate
2014 — 2016
JNTUA College of Engineering, Anantapur
Bachelor of Engineering - BE
2016 — 2020
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.