Intern AI/ML Software Engineer specializing in LLMs, NLP, and multimodal systems
IndiaData Science Intern0 years experienceInternTechnologyArtificial IntelligenceEducation
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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.
Experience
Data Science InternNational Small Industries Corporation (NSIC)
Machine Learning InternNational Small Industries Corporation (NSIC)
Education
Lawrence Technological Universitymaster, Computer Science (2025)
GITAM Deemed Universitybachelor, Computer Science and Engineering (2023)
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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