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AI Engineer with 1+ years in Machine Learning & Computer Vision
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Machine Learning Engineer with 2+ years of experience in AI, computer vision, and data science. Skilled in Python, CNN models, TensorFlow, PyTorch, and object detection using YOLOv8. Experienced in building LLM-powered applications including Generative AI systems, Retrieval-Augmented Generation (RAG), and AI Agents, along with end-to-end machine learning pipelines for real-world AI solutions.
Galgotias University
B.Tech-CSE · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Saint Johns School
ISC (12th)
June 1, 2018 – May 31, 2019
Saint Johns School
ICSE (10th)
June 1, 2018 – May 31, 2019
UpGrad
Data Scientist Mentor
March 1, 2025 – Present
India
Netzwala Services
AI-ML Engineer
June 1, 2024 – February 28, 2025
India
YOLOv8-based Custom Object Detection System
June 1, 2024 – February 28, 2025
Built a YOLOv8-based custom object detection system to detect headphones, caps, and glasses for real-time vision applications. Optimized the trained model and converted it into TensorFlow Lite (TFLite) for efficient mobile application deployment. Implemented the solution using Python, Ultralytics YOLOv8, and TensorFlow Lite, enabling fast and accurate real-time inference. Conducted a comparative analysis of YOLOv8, YOLOv9, and YOLOv10 evaluating their performance in terms of inference speed and accuracy. Optimized training script for efficient pre-processing (that reduces the time-taken by 4 hours) like data augmentation scripts and streamlined the pipelines, generated detailed documentation and formatted the repository for better readability.
Computer Vision Pipeline using DeepFace for Face Analysis
June 1, 2024 – February 28, 2025
Built a computer vision pipeline using DeepFace for face detection, recognition, and emotion analysis from images and video streams. Implemented facial embedding extraction and similarity matching for reliable identity verification. Developed the system using Python, DeepFace, and OpenCV, enabling automated facial recognition and emotion detection for banking sector applications.
IEEE Research Publication - Credit Card Default Prediction using Machine Learning
June 1, 2024 – June 1, 2024
Published research on predicting next-month credit card default risk using machine learning. Applied PCA for multicollinearity reduction and class imbalance handling techniques, and conducted a comparative analysis of Support Vector Classifier (SVC) and Logistic Regression to evaluate model performance.
View ProjectCompany Market Cap Prediction using Machine Learning
September 1, 2023 – September 1, 2023
Built predictive models to estimate company market capitalization using multiple ML algorithms including MLP Regressor, Linear Regression, Lasso, Ridge, Decision Tree, Random Forest, and Gradient Boosting. Implemented data preprocessing with StandardScaler and performed comparative model evaluation to identify the best-performing model.
Database Programming with SQL
Oracle Academy
June 1, 2026 – Present
AWS Academy Cloud Foundations certification
Amazon Web Services
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
AWS Academy Data Analytics certification
Amazon Web Services
June 1, 2026 – Present
Programming Essentials in Python
Cisco Networking Academy
June 1, 2026 – Present
AWS Academy ML Foundations certification
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic research to professional AI/ML engineering, indicates adaptability and a broad interest in AI applications. Their mentorship role suggests a collaborative mindset and a willingness to share knowledge. The focus on real-world AI solutions and optimization aligns well with a results-oriented culture. However, the experience level is relatively junior for a 'senior' role, which might impact immediate cultural integration into a highly experienced team without further development.
Soft Skills & Operational Fit
The candidate's role as a Data Scientist Mentor at UpGrad suggests strong communication, leadership, and problem-solving skills. Their involvement in project documentation and repository formatting indicates an attention to detail and good operational practices. The academic projects and research publication demonstrate initiative and a structured approach to problem-solving. However, without direct assessment data, these are inferred from the resume.