Headline

AI & Data Engineer | Enhancing Data Strategies with LLMs, Python, and Machine Learning | Advanced AI and Big Data Solutions | Master of Data Science

About

Innovative AI Engineer specializing in developing cutting-edge AI solutions that drive significant business transformation. At Cognizant, I've pioneered LLM-based systems and RAG architectures that have revolutionized data processing efficiency. Key Achievements: - Architected end-to-end RAG systems with vector databases, enhancing document processing and information retrieval - Developed automated PDF processing systems using advanced LLMs, reducing storage requirements - Created scalable data pipelines - Implemented custom reranking algorithms and similarity search mechanisms for improved data retrieval - Published researcher in IEEE, focusing on AI applications for accessibility - Streamlined data extraction processes through innovative algorithms - Maintained comprehensive schema mapping - Developed mobile applications leveraging neural networks for bi-directional communication Technical Expertise: - Large Language Models (LLMs) & Prompt Engineering - Python, PySpark & Machine Learning - Deep Learning & Computer Vision - Vector Databases & Similarity Search - Azure DevOps & MLOps - Natural Language Processing & Text Analytics - Data Pipeline Architecture & Optimization - Distributed Systems & Cloud Computing With a post-graduate degree in AI/ML from UT Austin and Microsoft Azure Data Scientist certification, I combine theoretical knowledge with practical implementation. My experience spans from developing CNN models for medical imaging to creating sentiment analysis systems achieving 90% accuracy. I'm passionate about pushing the boundaries of what's possible with Generative AI. My approach combines technical excellence with business acumen, ensuring solutions deliver measurable impact. Currently focused on advancing LLM applications, RAG architectures, and scalable AI systems. Seeking to connect with fellow AI enthusiasts and professionals interested in exploring the transformative potential of artificial intelligence. Open to collaborating on innovative projects and sharing knowledge within the tech community. Specialties: Generative AI, LLMs, RAG Architecture, Neural Networks, Data Processing, Machine Learning, AI System Design, Vector Databases, Azure Cloud, Python Development, Deep Learning, Computer Vision

Location

Bengaluru

AI stack

anthropic apis

claude code

hugging face

langchain

langgraph

openai

Work experience

Associate at Cognizant, Jan 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India

Programming Analyst at Cognizant, Jul 2023 - Dec 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, • Developed an innovative Python script for the automated download of PDF files, utilizing advanced data extraction methods to convert unstructured information into structured formats. This resulted in enhanced data reliability and improved accessibility for the team. • Leveraged advanced Large Language Models (LLMs) and Generative AI technology to extract data efficiently and accurately, significantly increasing data processing speed compared to previous methods. • Implemented cutting-edge text embedding models to organize and store extracted data in a Vector database, reducing storage space while maintaining data integrity. • Streamlined the data extraction process by implementing new algorithms within the script, reducing processing time and increasing overall productivity. • Created a Retrieval-Augmented Generation (RAG) approach to enhance document search efficiency, storing data in a vector database and querying the database to fetch corresponding data. • Developed a similarity and reranking approach to fetch and match tables created without direct primary and foreign keys, improving data retrieval accuracy and efficiency.

Programmer Analyst Trainee at Cognizant, Jun 2022 - Jun 2023 · 1 yr 1 mo, India, • Developed and implemented an automated data transformation process, decreasing processing time and allowing for real-time analysis of incoming data streams. • Maintained up-to-date schema mapping for all databases, decreasing data retrieval time and improving overall system performance. • Developed and implemented a scalable data pipeline in the Development environment, processing large volumes of data daily with minimal latency. • Created detailed documentation on data storage best practices, reducing errors related to incorrect table usage and ensuring data integrity.

Education

Master of Data Science (Global), Data Science, Deakin University

Post Graduate Program, Artificial Intelligence and Machine Learning, Great learning