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AI Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, Computer Vision, NLP, LLMs, and Generative AI. Skilled in Python, TensorFlow, Scikit-Learn, OpenCV, and Data Analytics. Passionate about building AI-powered solutions and predictive models to solve real-world problems.
Nutan College of Engineering and Research (NCER), Pune
B.Tech · Computer Science & Engineering (Artificial Intelligence)
January 1, 2022 – January 1, 2026
Shiksha Maharshi Dr. D.Y. Patil Junior College, Pune
Higher Secondary Certificate (HSC) · Science
January 1, 2020 – January 1, 2022
Kamalanayan Bajaj High School, Pune
Secondary School Certificate (SSC)
January 1, 2020 – January 1, 2020
Intellectual Property Office, Govt. of India
Intellectual Property Rights Intern
November 1, 2025 – December 1, 2025
India
Edunet Foundation (AICTE-VOIS for Tech)
Conversational Data Analytics Intern
September 1, 2025 – October 1, 2025
India
Ybi Foundation
Data Science & Machine Learning Intern
August 1, 2025 – February 1, 2026
India
Aero spy - Smart Surveillance System
June 1, 2026 – Present
Designed and trained custom YOLOv8 models for real-time detection of fire, weapons, and anomalous behaviour from live video streams with sub-second latency. Integrated Telegram Bot API and EmailJS to deliver instant threat alerts with captured image evidence to authorised personnel, reducing manual monitoring overhead. Evaluated detection accuracy on custom surveillance datasets; iteratively improved mAP through data augmentation and hyperparameter tuning.
AI-Powered Crop Precision System
June 1, 2026 – Present
Built a crop recommendation engine using Random Forest and SVM models trained on soil composition and weather condition datasets; selected best model by cross-validation metrics. Integrated OpenWeatherMap API for real-time weather inputs and added voice interaction for hands-free decision support in field environments.
Real-Time Driver Drowsiness Monitoring System
June 1, 2026 – Present
Developed a real-time fatigue detection system using Media Pipe facial landmark tracking to monitor Eye Aspect Ratio (EAR) and blink patterns from live video feeds. Implemented audio alerts and Twilio-based SMS notifications to warn drivers and designated contacts, improving road safety outcomes.
Web Chat Global Assistant
June 1, 2026 – Present
Built an AI-powered chatbot using IBM Watson Assistant with intent recognition and entity extraction to handle multi-domain user queries. Designed conversational workflows with fallback handling; improved query resolution rate through NLP-based automated response pipelines.
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Getting Started with Enterprise-Grade AI
IBM
June 1, 2026 – Present
Introduction to Large Language Models
Coursera
June 1, 2026 – Present
Introduction to Generative AI
Coursera (Google Cloud)
June 1, 2026 – Present
Performance Evaluation with Machine Learning
Vodafone Idea Foundation (VOIS)
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (surveillance, agriculture, driver monitoring, chatbots) and internship experiences (Data Science, Conversational Data Analytics, IPR) suggest a broad interest in applying AI across various domains. This indicates a willingness to explore different challenges, which can be a positive for cultural fit in an innovative environment. The academic background in Computer Science & Engineering (Artificial Intelligence) directly aligns with an AI Engineer role. However, the experience level is very junior (0 years stated, still pursuing B.Tech), which might require significant mentorship and ramp-up time in a senior-level team.
Soft Skills & Operational Fit
The candidate's resume highlights 'Critical Thinking, Problem Solving, Leadership, Adaptability, Multi-tasking' as soft skills. Project descriptions suggest problem-solving in integrating various APIs and models. The Event Coordinator role indicates leadership and teamwork. However, without specific examples or interview data, the depth of these skills in a professional AI engineering context is difficult to fully assess. The candidate appears adaptable given the diverse project domains (surveillance, agriculture, driver monitoring, chatbots).