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sandeep Barige

Intern AI/ML Software Engineer specializing in LLMs, NLP, and multimodal systems

National Small Industries CorporationLawrence Technological UniversityIndia0 Years ExperienceIntern LevelWorks On-Site

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About

Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.

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Key Strengths

  • Built and deployed an LLM+RAG personalized learning platform with automated grading (Django + FastAPI)
  • Improved reliability by enforcing strict JSON outputs and validating with Pydantic before DB writes
  • Reduced hallucinations via strict RAG gating with FAISS and similarity thresholds plus explicit refusals
  • Improved performance/UX by decoupling slow LLM workloads into an async FastAPI microservice
  • Designed robust ETL orchestration with Airflow (scheduling, retries, logging, idempotent reruns)
  • Layered AI workflow testing strategy (pytest unit tests, mocked integration tests, golden-dataset E2E regression tests)
  • Effective collaboration with non-technical instructors using demos and iterative feedback to translate needs into concrete AI rules

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Experience

Data Science InternNational Small Industries Corporation (NSIC) · Jun 2023 – Aug 2023internship
Machine Learning InternNational Small Industries Corporation (NSIC) · May 2022 – Jun 2022internship

Education

Lawrence Technological Universitymaster, Computer Science (2025)
GITAM Universitybachelor, Computer Science and Engineering (2023)

Languages

English

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Connect with sandeep

sandeep already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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sandeep BarigeIntern AI/ML Software Engineer specializing in LLMs, NLP, and multimodal systems