Data Scientist & AI Engineer

🛠️ SKILLS:

Technical Skills: Proficient in ML, DL, AI, GenAI, Data Science, Data Analysis, Python, Git/GitHub, MySQL, T-SQL Databases, Computer Vision, Video Analytics, NLP, RAG, EDA, C/C++, DSA, Linux, PowerBI, MLOps, Azure and AWS
Libraries Known: PyTorch, Tensorflow, Keras, OpenCV, Scikit-Learn, NumPy, Pandas, NLTK, OpenAI, Streamlit, Flask, LangChain
Exposure to: C#, Java, HTML, CSS, JavaScript (ECMAScript), Mojo, Rust
Languages Known: English, Hindi, Portuguese (beginner)

Data Scientist & AI Engineer | (Dec 2023 - Present)
Quantum Leap | Setúbal, Portugal (Remote)

Leading and delivering impactful initiatives in Computer Vision Projects. Developing a system for Human Activity Recognition/Behaviour Analysis contributing to improved safety protocols and preventive measures for Retail Loss Prevention
Engineered backend solutions to streamline and analyze incoming streams, enabling real-time irregular behaviours detection
Led the development of a fully localized Llama-3 70B LLM model tailored for a law firm client
Built a sophisticated chat interface allowing the client to interact with their data, facilitating quick identification of relevant documents and specific information within vast repositories of PDFs and text files

Software Engineer | (Dec 2022 - Dec 2023)
MAQ Software | NOIDA, India

Spearheaded and successfully led initiatives in Retrieval Augmented Generation, contributing to advancement of content generation techniques
Applied state-of-the-art LLMs like OpenAI’s GPT3.5 & GPT4 and Llama 2 for RAG applications
Optimized client’s legacy system performance using Python, specifically leveraging NumPy and Pandas for calculations, achieving a substantial reduction in execution time from 7 minutes to 10 seconds, making application 42x faster
Deployed end-to-end production-grade solutions on Azure, utilizing services like Function App, Web App, Cognitive Service (Search Index/Indexer), Blob Storage, SQL Databases and Speech Service
Implemented High-Impact and robust Recommendation System handling a massive data of 1 million users

System Engineer | (Aug 2021 - Dec 2022)
Tata Consultancy Services (TCS) | NOIDA, India

Led and executed numerous Data Analysis and Data Science Projects
Proficient in Python development, showcasing skills in backend development for robust and scalable applications

Data Science Intern | (Jul 2021 - Aug 2022)
VerSe Innovation | Bengaluru, India

Engaged in challenging Computer Vision endeavors, including tasks encompassing Image and Video Classification

AI Trainer | (Jan 2020 - Feb 2020)
CETPA InfoTech Pvt. Ltd. | NOIDA, India

Educated and taught college students in their 3rd and 4th years on a wide array of AI topics

Bachelor of Technology, CSE from Shaheed Bhagat Singh State Technical Campus (Aug 2016 - Jul 2020)

Simple and intuitive web interface made using Gradio with real-time Cover Letter Generation
Usage of Llama 3.2 model from Ollama
Usage of uv package manager for package dependency

Simple and intuitive web interface made using Gradio for training any Ultralytics model from WebUI
Usage of uv package manager for package dependency

Achieved a validation accuracy of 99.348% and a minimal loss of 0.03621 on ResNet102
Dataset Used: ASL Alphabet

Conducted Video Classification on two distinct massive datasets, UCF11 and UCF101
Demonstrated a robust validation accuracy ranging from 90% to 95% on ResNet102
Dataset Used: UCF101, UCF11