Artificial Intelligence and Data Science Student
Artificial Intelligence and Data Science student with experience in machine learning, generative AI, retrieval-augmented systems, document intelligence, and autonomous agent platforms.
PrudentBit
May 2025 - Jul 2025 · Noida, UP, India
Constructed a FastAPI-based API validation framework that reduced environment initialization cycles by 75% and improved pre-deployment reliability. Refined document-level sensitive-data masking workflows within retrieval-augmented systems, accelerating content handling by 30% while preserving 90% precision benchmarks. Devised contextual response evaluation heuristics covering Prompt Groundedness, Standalone Quality, and Query Alignment, enabling prompt calibration and a 20% gain in anonymization integrity.
B.Tech., Artificial Intelligence and Data Science
Nov 2022 – June 2026
GPA 9.07
Class 12th - CBSE Board
2022
Percentage 93.6%
Class 10th - CBSE Board
2020
Percentage 94.4%
Interactive vision-based recognition framework using Python, TensorFlow, Keras, OpenCV, CNN, ANN, VGG-16, GTTS, and PIL. Trained on 600+ samples per gesture category with synthetic augmentation and achieved 99.9% validation performance under controlled evaluation. Supports sign interpretation, symbolic reconstruction, speech synthesis, and cross-lingual conversion.
Autonomous office-task execution platform using Python, LangChain, FastAPI, Uvicorn, Streamlit, PostgreSQL, document embeddings, semantic search, agentic AI, REST APIs, and prompt engineering. Includes 120+ commands, large-scale file manipulation, state preservation, audit trails, rollback controls, and 98% execution reliability.
Document intake and conversational retrieval platform using Python, RAG, LangChain, FastAPI, SQLAlchemy, Uvicorn, Streamlit, PostgreSQL, document embeddings, semantic search, REST APIs, and prompt engineering. Supports TXT, MD, CSV, and PDF formats, with 95%+ result relevance and reduced query response times.