
Software Engineer (AI/ML & Data)
At the intersection of buidling full-stack AI solutions with intelligent data pipelines.
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About Me

I'm a Software engineer specialized in AI/ML and Data Engineering with expertise in developing production-ready intelligent systems. I excel in designing advanced retrieval-augmented generation architectures, orchestrating multi-agent AI workflows, and implementing scalable data pipelines. My unique blend of deep learning experience in neural network hybrids and fine-tuning techniques combined with cloud infrastructure knowledge enables me to deliver end-to-end solutions that transform raw data into powerful AI applications that drive tangible business value.
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Featured Projects
A selection of my recent work in data engineering, machine learning, and AI applications.
Learn Lab - Multimodal Learning Platform
An AI-powered learning platform that transforms PDFs into five interactive formats (podcasts, flashcards, quizzes, blogs, and social media) through semantic processing and multi-agent orchestration.
Multi-Modal and Multi-Agent Research Assistant
An advanced research tool that combines multi-agent AI orchestration with document processing to provide comprehensive research capabilities by integrating document knowledge, web search, and academic papers.

Text-to-SQL Fine-Tuning with LoRA
Parameter-efficient fine-tuning of large language models for natural language to SQL translation
Stable Diffusion Fine-tuning on Flickr30k Dataset
Fine-tuning Stable Diffusion's U-Net component on Flickr30k dataset for enhanced photorealistic text-to-image generation.

Hybrid CNN-RNN for Precipitation Prediction
AAn innovative deep learning system that integrates satellite cloud imagery with meteorological data to predict precipitation patterns over Michigan Lake through a hybrid CNN-RNN-LSTM architecture.
Technical Skills
A comprehensive overview of my technical expertise and proficiencies
Experience & Education
My professional journey and academic background
Graduate Teaching and Research Assistant for Big data systems and AI
Northeastern University
Master of Science in Information Systems (Data and ML/AI Specialization)
Northeastern University
GPA: 3.96/4.0
Coursework
BigData Intelligence and Analytics
Neural Modeling methods and tools
Natural Language Engineering Methods and Tools
Prompt Engineering
Program Structure and Algorithms
High-Performance Parallel Machine Learning and AI
Data Science Engineering Methods and Tools
Application Engineering Development
Software Engineer
Zitisi Solutions LLP
Bachelor of Technology, Civil Engineering
National Institute of Technology
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