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AI Engineer with 2+ years in Machine Learning & Generative AI
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AI/ML Developer with experience in Machine Learning, Generative AI, Agentic AI, and Industrial IoT analytics. Skilled in building production-ready RAG pipelines, LLM-powered applications, forecasting systems, and scalable data-driven solutions using Python, FastAPI, AWS, and modern AI technologies. Passionate about transforming complex data into actionable business insights and intelligent automation.
Symbiosis Skills & Professional University, Pune
Master's in Computer Applications (MCA) · Computer Applications
January 1, 2023 – January 1, 2025
GH Raisoni College of Engineering and Management, Amravati
Bachelor's of Computer Applications (BCA) · Computer Applications
January 1, 2020 – January 1, 2023
Newel Technologies Pvt. Ltd., Mumbai
AI-Powered Interview & Recruitment Platform
October 1, 2025 – Present
Mumbai, Maharashtra, India
Auto-Expression Resolver – Agentic AI Query-to-Function Engine
Data Science Intern
April 1, 2025 – September 1, 2025
Mumbai, Maharashtra, India
Attendance System Using Facial Recognition – Real-Time Computer Vision System
January 1, 2025 – December 31, 2025
Developed a real-time facial recognition attendance system using OpenCV, Haar Cascade, and LBPH to automatically detect and recognize faces from webcam input in real time, enabling efficient and contactless attendance tracking. Built a data pipeline for facial dataset collection and preprocessing, supporting robust and accurate model training.
Pune House Price Prediction using Machine Learning & Outlier Analysis
January 1, 2025 – December 31, 2025
Conducted EDA for data understanding and streamlined data preprocessing. Applied imputation for missing values, performed feature engineering, scaled the numerical columns and encoded the categorical columns. Built and optimized regression models (Linear Regression, Random Forest, XGBoost) with hyperparameter tuning, achieving an R² score > 0.90 using XGBoost.
Data Science Methodology
IBM (Coursera)
June 1, 2026 – Present
Machine Learning
Symbiosis Skills & Professional University, Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered recruitment to industrial IoT analytics and facial recognition, indicates a broad interest in applying AI across various domains. Their experience with both academic and industry projects, including a current role at a technology company and an internship at a lab, shows a blend of theoretical understanding and practical application. The skills listed, such as Python, SQL, various AI/ML frameworks, and cloud platforms, are highly relevant to modern AI engineering roles, suggesting a good cultural fit for an innovative and technically driven environment.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through the development of complex AI systems to address real-world challenges (e.g., reducing manual labor, optimizing energy consumption). Their experience with collaborative tools like GitHub and project descriptions imply an ability to work within team environments. The focus on reducing latency and improving accuracy suggests a detail-oriented and performance-driven approach. The diverse project portfolio indicates adaptability and a proactive learning attitude.