Santosh Parida

About

Integrated M.Sc. student in Physics and Astronomy at NIT Rourkela with experience in product management and product growth. Interested in AI-powered learning products, product strategy, and growth experiments.

Experience

• Founding Product Manager
  StudentOS · Bengaluru
  — – Present

  Owned product discovery through student interviews and market research, translated insights into prioritised requirements for an AI-powered learning platform. Defined intent routing, model selection, latency and inference-cost optimisation, and designed user flows for personalised AI mentorship and study planning. Led product execution across engineers and designers, aligning technical and design leads on AI workflows, prototype delivery and subscription-based product strategy.

• Product Growth Intern
  Munico Foods · Rourkela
  Sep 2024 – Dec 2024

  Owned product launch and GTM strategy for Gutzy in Sundargarh; validated pricing, positioning, and distribution through on-ground experiments reaching 8,000+ users. Analysed price sensitivity and user feedback, driving the launch of MilletCo’s INR 20 SKU to expand the addressable market while maintaining margins. Established feedback-to-iteration loops and converted field insights into scalable GTM inputs for expansion across multiple Odisha districts.

Education

• 2022 NI
  Integrated Master of Science

  National Institute of Technology, Rourkela

  Physics and Astronomy · Nov 2022

  Physics and Astronomy · Nov 2022

Skills

Tools / apps / platforms

Projects

• RAG-based Physics Chatbot with Numerical Problem Solving ↗
  LangChain, LangGraph, Streamlit, Open-source LLMs, FAISS

  Built a RAG-based physics assistant to answer conceptual questions, solve numerical problems, and summarise research papers. Implemented FAISS-based semantic retrieval over a physics corpus to generate accurate, source-grounded, and context-aware responses.

• Netflix Conversational Discovery — AI Product Teardown ↗
  JTBD, User-Persona, User Journey Mapping

  Analysed Netflix personalisation and Reddit posts to identify friction in content discovery and viewing decisions. Developed viewer personas and a four-stage journey; proposed a conversational assistant for contextual recommendations and title comparison. Outlined success metrics and business impact hypotheses spanning browse-to-play conversion, subscriber retention and catalogue discovery.

• Business Intelligence .ai ↗
  Multi-Agent AI, KPI Analytics, SQL, RAG, Azure LLM Judge

  Developed a multi-agent AI-powered business intelligence system for the Accenture Innovation Challenge using the Olist e-commerce dataset, tracking leading and driver KPIs for automated anomaly detection. Built an LLM-assisted root-cause analysis pipeline with KPI-specific SQL generation, statistical validation, ambiguity detection, and confidence scoring. Implemented a RAG-based recommendation agent using a curated business-solutions knowledge base and Azure LLM Judge to generate and validate actionable business recommendations.

⚽ Extracurricular activities

• Content Head, Cixorg Studios

  Contributed to campaigns and helped optimise written content for social media publishing, including a short-form piece reaching 1.2M+ views.