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SR

SAKINA RIZVI

AI/ML Engineer in training · Generative AI, NLP & Computer Vision

Mumbai, Maharashtra, India

@sakina_rizvi

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🎓 Bachelor of Engineering in Computer Engineering at Shree L.R. Tiwari College of Engineering · Graduated 2024

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About

AI/ML engineer in training with hands-on experience building end-to-end Generative AI, NLP, and Computer Vision systems, including RAG pipelines, fine-tuned voice models, and detection models. Comfortable across the ML lifecycle from data processing and model training to evaluation and deployment-oriented backend integration.

Experience

  • Tech Intern
    Neeyat AI
    Mar 2026 – Aug 2026

    Diagnosed and resolved critical bottlenecks across AI tooling and workflows, enhancing system efficiency through creative troubleshooting.

  • Gen AI Intern
    Cyart
    Jul 2025 – Jan 2026

    Co-engineered core components of Text-to-Speech (TTS) pipelines, supporting cross-functional team projects from development to deployment.

  • Data Analyst Intern
    Treadalytrix
    Jun 2025 – Jul 2025

    Translated raw business data into strategic insights by designing data models and performing rigorous statistical analysis to guide executive decisions.

Education

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL CSS HTML Java LLMs NumPy Python Pandas FastAPI Seaborn PyMuPDF JavaScript Matplotlib Fine-tuning scikit-learn RAG Pipelines Computer Vision Feature Engineering Sentence Transformers Natural Language Processing Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Ollama Tableau ChromaDB

Projects

  • Person Detection (FDFR) & Loan Eligibility / Housing EDA
    RF-DETR

    Fine-tuned an RF-DETR model for real-time person detection; separately built a loan-approval classifier and ran exploratory data analysis on housing data.

  • Improved Text-to-Speech (TTS) System
    VALL-E-X

    Cloned and extended the VALL-E-X model, adding multi-voice detection, synthesis-error identification, and a voice/text accuracy-scoring module.

  • MineSentinel
    Isolation Forest, XGBoost

    Built a two-stage AI risk pipeline for a real-time mine subsidence early-warning system using anomaly detection and subsidence-risk prediction on multi-sensor IoT time-series data.

  • VisionVault - Offline Personal RAG Knowledge System
    PyMuPDF, BAAI/bge-small-en-v1.5, ChromaDB, Ollama, FastAPI, React

    Built a modular RAG pipeline with PDF ingestion, custom chunking, local embeddings, and semantic search. Architected for offline operation with a planned local-LLM layer and app interface.

Courses & certifications

  • Applied AI Engineer · Surfboard Ventures / edQuest · 2026
  • Python Course · Applied AI Engineer
  • Artificial Intelligence & Machine Learning Generative AI App Development Bootcamp · Pregrad Nasscom

🎯 Hobbies & interests

  • Reading
  • Travel
  • Music
  • Cricket
  • Basketball

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