Dec 2025 – Jun 2026 · 06 months

Worked on practical machine learning workflows involving exploratory data analysis, data cleaning, feature engineering, model development, and evaluation using real-world datasets.

Focus:

Python Scikit-learn Machine Learning
EDA Feature Engineering Model Evaluation
Hyperparameter Tuning Data Preprocessing

Jun 2025 – Dec 2025 · 06 months

Worked on machine learning workflows covering data preprocessing, feature engineering, model training, algorithm comparison, and performance evaluation.

Focus:

Python Scikit-learn Machine Learning
Data Preprocessing Feature Engineering Model Training
Hyperparameter Tuning Model Evaluation

Multimodal AI • LLM • Voice & Vision

A multimodal AI healthcare assistant that combines vision, voice, and LLM capabilities to provide interactive AI-powered responses from text, speech, and image inputs.

Stack:
Llama 3 Vision Whisper Groq ElevenLabs Gradio

🔹 Vision-Language AI
🔹 Speech-to-Text Integration
🔹 LLM-Based Response Generation
🔹 Text-to-Speech
🔹 Interactive AI Interface

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RAG • LLM Evaluation • LLMOps

An enterprise-oriented RAG platform designed for reliable LLM applications with contextual retrieval, guardrails, evaluation, caching, and centralized LLM access.

Stack:
Python LangChain LLMs Vector DB FastAPI

🔹 Retrieval-Augmented Generation
🔹 LLM Guardrails
🔹 LLM Evaluation
🔹 Response Caching
🔹 LLM Gateway

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Agentic AI • Multi-Agent Systems • LLM

A multi-agent AI system where specialized agents collaborate to break down complex tasks, use external tools, and coordinate their results through structured workflows.

Stack:
LangGraph LangChain Groq Tavily Python

🔹 Multi-Agent Orchestration
🔹 Tool Calling
🔹 Agent Workflows
🔹 LLM-Based Reasoning
🔹 Automated Task Execution

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LLM Fine-Tuning • LoRA • GPU Inference

Fine-tuned an open-source LLM for natural-language-to-SQL generation using parameter-efficient fine-tuning, then deployed the model for GPU-based production inference.

Stack:
Python PyTorch Hugging Face PEFT LoRA vLLM AKS

🔹 LoRA Fine-Tuning
🔹 Text-to-SQL Generation
🔹 Parameter-Efficient Training
🔹 vLLM Model Serving
🔹 NVIDIA GPU Operator

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RAG • AI Research • LLM Applications

An AI-powered investor intelligence platform that retrieves and synthesizes relevant company and financial information to support faster research and investment analysis.

Stack:
Python LangChain LLMs RAG Vector DB

🔹 Intelligent Information Retrieval
🔹 Financial Data Analysis
🔹 Context-Aware LLM Responses
🔹 Document & Knowledge Retrieval
🔹 AI-Assisted Investment Research

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Machine Learning • MLOps • Model Lifecycle

An end-to-end machine learning system for water potability prediction with reproducible training, dataset versioning, experiment tracking, and cloud-based deployment.

Stack:
Python Scikit-learn DVC MLflow Docker AWS

🔹 Data & Model Versioning
🔹 Experiment Tracking
🔹 Feature Engineering
🔹 Model Evaluation
🔹 Reproducible ML Pipeline

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