
Pritam Mohanty
@pritammohanty
I build Python backend APIs and RAG-powered AI products, including medical chatbots using LangChain and FAISS.
What I'm looking for
I designed and deployed MediBot Pro at PRAGSYSAI, an end-to-end medical chatbot built across the software development lifecycle with CI/CD pipelines. I engineered its Python backend API using LangChain, FAISS, spaCy, and Groq LLM for RAG workflows.
I also built microservices for chat, document ingestion, and semantic retrieval, grounding LLM responses in verified medical documents. Alongside AI product development, I’ve developed a credit-risk classification model with Scikit-learn, NumPy, and Pandas, backed by strong foundations in data structures, algorithms, and problem-solving.
Experience
Work history, roles, and key accomplishments
AI/ML & GenAI Engineering Intern
PRAGSYSAI
May 2026 - Jun 2026 (1 month)
Designed and developed AI-powered product features by architecting and deploying MediBot Pro, an end-to-end medical chatbot, spanning the full software development lifecycle and CI/CD pipelines. Engineered a Python backend API integrating LangChain, FAISS, spaCy, and Groq LLM for RAG workflows.
Education
Degrees, certifications, and relevant coursework
NIST University
Bachelor of Technology, Computer Science Engineering
2023 -
Grade: 8.0 CGPA
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.0.
Chikiti Mahavidyalaya
Higher Secondary
Grade: 67%
Completed Higher Secondary education with 67%.
BLN PUR High School
Matriculation
Grade: 64%
Completed Matriculation with 64%.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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