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SHAIK JAFFAR ALLI

Generative AI Engineer • Bangalore, Karnataka, India • s****************@gmail.com • +91*******592 • drivetube.ai/•••••

Career Objective

Generative AI Engineer with 0 years of experience building RAG systems, NLP pipelines, and ML models; skilled in Python, PyTorch, Hugging Face Transformers, LangChain, FAISS, and AWS. Experienced delivering end-to-end prototypes including document retrieval, speech pipelines, model inference, and interactive Streamlit deployments to support research and product prototyping.

Education

Sri Venkateshwara College of Engineering
B.Tech in Civil Engineering • 2021 – 2026

Technical Skills

Programming Languages: Python,JavaScript
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: PyTorch,Scikit-learn,LangChain,Pandas,NumPy,OpenCV,FAISS,Flask,FastAPI,Streamlit
Databases: SQL
Cloud and DevOps: AWS,S3
Data and Analytics: Hugging Face Transformers,Generative AI,Retrieval-Augmented Generation,Embeddings,NLP,Multi-Agent Systems
Tools and Methodologies: Git
Frontend: ReactJS

Projects

PDF Question Answer Chatbot using RAG
Tools Used: Python, FAISS, Embeddings, LangChain, Streamlit, Hugging Face Transformers
  • Implemented document ingestion and chunking pipeline to convert uploaded PDFs into searchable text chunks for embedding generation.
  • Built embedding-generation and vector-indexing flow using sentence-transformer models and FAISS to enable semantic retrieval of document sections.
  • Integrated retrieval with an LLM via LangChain and deployed an interactive Streamlit UI; optimized query latency and session responsiveness for user Q&A.
Multi-Language Voice Assistant
Tools Used: Speech-to-text, Text-to-speech, NLP, Python, PyTorch
  • Developed multilingual voice interface combining speech-to-text and text-to-speech modules for real-time conversational interaction.
  • Implemented intent recognition and response generation using NLP models and deep learning pipelines to handle multiple languages and dialog flows.
  • Engineered end-to-end audio processing to ensure robust recognition across accents and languages and connected assistant actions to task automation hooks.
AI Meeting Intelligence Platform
Tools Used: Speech-to-text, Transformers, NLP, Python
  • Built an automated pipeline to transcribe meeting audio into structured text using speech recognition models.
  • Applied transformer-based summarization and topic detection to generate concise meeting summaries and highlight action items.
  • Produced reusable reports by extracting entities, decisions, and next steps to improve meeting follow-up and knowledge reuse.
Student Performance Prediction System
Tools Used: Scikit-learn, Pandas, Feature Engineering, Python
  • Collected and preprocessed educational datasets, handling missing data and feature encoding to prepare inputs for modeling.
  • Performed exploratory data analysis and engineered predictive features that capture student behavior and performance signals.
  • Trained and evaluated classification and regression models with scikit-learn and presented model insights to identify key predictors.
House Price Prediction System
Tools Used: Regression, Scikit-learn, Pandas, Python
  • Cleaned real estate datasets and performed feature selection to improve model signal and reduce overfitting.
  • Developed regression models to predict property prices and evaluated results with standard regression metrics.
  • Visualized predictions and residuals to communicate model performance and identify opportunities for feature improvement.

Certifications

Cybersecurity Roles, Processes & Operating System Security — IBM
AI for Students: Build Your Own Generative Model — NxtWave
Single Page Web Applications with AngularJS — Johns Hopkins University
GitHub Essentials — Udemy

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