- 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
uvpackage manager for package dependency
- Simple and intuitive web interface made using Gradio for training any Ultralytics model from WebUI
- Usage of
uvpackage manager for package dependency
POLAR Dataset Conversion and YOLO11 Training
- Trained YOLO11 model on POLAR dataset for human activity detection
- Usage of
uvpackage manager for package dependency
- Classification of different sign language alphabet using YOLO11
- Dataset Used: ASL Alphabet
Real-Time Sign Language Detection
- 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
- Coding Blocks - Algo++
- Coursera - Deep Learning
- CETPA - Machine Learning
- CETPA - Deep Learning
- Microsoft - Fundamental of ML
- ISOEH - Machine Learning
- Gate 2021 cleared with Marks: 25.21 & Gate Score: 339
- Practiced over 190+ DSA questions on various platforms
Made with ❤️ by Aashish Gupta