AI Engineer with 1+ years in Machine Learning & Computer Vision
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AI Engineer with a strong academic background in Artificial Intelligence (CGPA 8.81) and practical experience in developing and deploying real-world AI solutions. Proficient in machine learning, deep learning, computer vision, and NLP, with expertise in object detection, recommendation systems, and RAG chatbots. Eager to contribute innovative solutions to complex technical challenges and drive high-impact innovations.
University Teaching Department, CSVTU
Bachelor of Technology Hon's · Artificial Intelligence
August 1, 2021 – June 30, 2025
4thOrbit
Artificial Intelligence Engineer
July 1, 2025 – Present
India
Anand Automotive
Artificial Intelligence Intern
March 1, 2024 – December 1, 2024
India
COEP, Pune
Research Intern
March 1, 2024 – June 1, 2024
Pune, Maharashtra, India
AI-Powered RAG Document Intelligence Chatbot
June 24, 2026 – Present
Developed a Retrieval-Augmented Generation system enabling intelligent document ingestion, chunking, semantic analysis, and context-aware responses. Leveraged large language models to enhance information retrieval, ensuring accurate, scalable, and efficient question-answering grounded strictly in user-provided data.
PlacementHub App
June 24, 2026 – Present
An intelligent platform that streamlines the college placement lifecycle for TPOs and students. It centralizes job postings and automates application tracking. The app utilizes NLP models for resume parsing and machine learning recommender to intelligently match students with optimal job opportunities.
GatedFly
June 24, 2026 – Present
An autonomous drone logistics platform for end-to-end parcel delivery. It implements advanced pathfinding algorithms for optimal, collision-free routing. The system leverages computer vision models for dynamic obstacle avoidance, all monitored through a real-time 2D/3D visualization interface.
MeetMind
June 24, 2026 – Present
An AI-powered meeting intelligence platform that ingests raw meeting transcripts, auto-generates structured Minutes of Meeting, extracts and assigns tasks by person and deadline, synchronises bidirectionally with Jira and Slack, and delivers pre-meeting accountability digests - eliminating all manual follow-up.
AI-Powered Career Path Recommendation System
June 24, 2026 – Present
Designed an intelligent EdTech platform leveraging machine learning and predictive analytics to assess user profiles, including academics, interests, and experience. Built adaptive assessments and recommendation models to deliver personalized subject selection and career guidance across students and professionals.
AZ-104-Microsoft Azure Hands On Labs
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and initiative in applying AI across diverse domains, including document intelligence, career recommendation, logistics, and meeting automation. This breadth of application, coupled with an academic background in AI and relevant internships, suggests a proactive and curious individual. The target role of 'AI Engineer' aligns well with the candidate's stated experience and project focus. However, the projects are all personal, which, while demonstrating initiative, doesn't provide insight into team collaboration dynamics in a professional setting. The candidate's current role as an 'Artificial Intelligence Engineer' at 4thOrbit further strengthens the alignment with the target role.
Soft Skills & Operational Fit
The candidate's resume highlights 'People Management, Excellent Communication, Problem Solving & Critical Thinking, Team Collaboration' as soft skills. While these are valuable, there is no direct assessment data to validate these claims. The project descriptions indicate an ability to conceptualize and execute complex AI systems, suggesting good problem-solving and potentially collaborative skills. However, without psychometric or English test results, a comprehensive operational fit assessment is limited.