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ML Engineer with less than a year in AI system development and deep learning.
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AIML fresher with hands-on experience in machine learning, deep learning, and AI system development. Skilled in Python, TensorFlow, and PyTorch, with exposure to large language models, computer vision, and ML pipeline development. Familiar with MLOps and model deployment. Experienced in building real-world AI projects, optimizing model performance, and collaborating to deliver practical solutions.
A.P. Shah Institute of Technology, Thane
B.E-CSE · AI & ML
August 1, 2022 – June 30, 2026
SHELL
Artificial Intelligence & Data Analytics Intern
August 1, 2025 – September 30, 2025
Thane, Maharashtra, India
IBM SKILLSBUILD
Agentic AI Architect
July 1, 2025 – August 31, 2025
Thane, Maharashtra, India
REAESPRESSO PROPTECH PVT. LTD
Full Stack Developer Intern
June 1, 2025 – July 31, 2025
Thane, Maharashtra, India
ACMEGRADE
Machine Learning Internship
June 1, 2024 – August 31, 2024
India
RoomRover - Smart IoT-Based Navigation Assistance
August 1, 2025 – February 28, 2026
Designed an AI-powered system by integrating an NLP chatbot, smart surveillance, and ML-driven automation, enhancing operational intelligence and improving workflow efficiency.
Fingerprint-Based Blood Group Prediction Using CNN
January 1, 2025 – May 31, 2025
Designed and validated a custom CNN model to predict blood group categories from fingerprint images, achieving 89% accuracy and enhancing biometric identification reliability.
Sentiment Analysis Using NLP
August 1, 2024 – October 31, 2024
Built an NLP sentiment classification model to categorize large-scale customer feedback into positive, negative, and neutral classes, handling high-volume dataset and achieving ~95% accuracy to improve customer insight analysis.
Online Payment Fraud Detection
January 1, 2024 – May 31, 2024
Implemented and optimized a machine learning model to detect fraudulent transactions by analyzing user behavior and transaction patterns, achieving 92% detection accuracy and strengthening platform security by reducing false positives and preventing high-risk fraud attempts.
Oracle Cloud Infrastructure Certified Generative AI Professional
Oracle
June 1, 2026 – Present
Zscaler Zero Trust Cyber Associate (ZTCA)
Zscaler
June 1, 2026 – Present
Ethical Hacker
Cisco NetAcad
June 1, 2026 – Present
Generative AI with Diffusion Models
NVIDIA
June 1, 2026 – Present
Machine Learning
Coursera
June 1, 2026 – Present
Python(Cisco) and Java(Oracle) Programming
Cisco
June 1, 2026 – Present
Published a Springer-indexed research paper at ICWiCom 2025 on "Fingerprint based Blood group prediction using CNN"
Springer
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong alignment with an innovative and research-driven culture, evidenced by their published paper and engagement with cutting-edge AI topics like Generative AI and Diffusion Models. Their diverse internship experiences across different companies (SHELL, REAESPRESSO, IBM SKILLSBUILD) suggest an ability to adapt to various work environments and contribute to different types of projects. The focus on practical, real-world applications in their projects also indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through diverse projects and certifications. Their experience in team collaboration and technical documentation, as mentioned in their core competencies, suggests a good operational fit. The variety of projects indicates adaptability and a willingness to tackle different problem domains within AI/ML.