AI Engineer with less than a year in Computer Vision & LLM Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience developing AI-powered applications using Python, FastAPI, Computer Vision, and Large Language Models (LLMs). Contributed to AI surveillance and AI-powered code review platforms using YOLOv8, OpenCV, Ollama, and FastAPI. Skilled in Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, and REST API development, with a strong passion for building intelligent software solutions.
AVD Group
Post Graduate Diploma · Data Engineering
August 1, 2024 – June 30, 2025
Ballarpur Institute of Technology
MBA · HR & Finance
August 1, 2018 – June 30, 2020
Zeal College of Engineering and Research
BE · Information Technology
August 1, 2014 – June 30, 2017
Primine Software Pvt Ltd.
AI/ML Intern
January 1, 2026 – May 1, 2026
Nagpur, Maharashtra, India
Digileap Technologies Pvt. Ltd.
Junior IT Recruiter
January 1, 2022 – January 1, 2023
Kolkata, West Bengal, India
Xenocode Technologies Pvt. Ltd.
HR Executive
January 1, 2020 – January 1, 2021
Nagpur, Maharashtra, India
AI-Powered Camera Surveillance System
June 24, 2026 – Present
Contributed to the development of an AI-powered camera surveillance system using YOLOv8 and OpenCV. Developed Python modules for real-time video stream processing and webcam integration. Implemented YOLOv8-based object detection for live camera feeds, achieving approximately 85–90% detection accuracy during internal testing. Built FastAPI backend services for detection result processing and API integration. Integrated AI backend services with an existing React-based frontend application.
AI-Powered Code Reviewer Platform
June 24, 2026 – Present
Developed an AI-powered Code Reviewer for automated code analysis, bug detection, and output prediction. Built a multi-language review engine supporting Python, Java, JavaScript, C, C++, PHP, C#, SQL, HTML, and Bootstrap. Integrated Ollama-based LLMs (Phi, Mistral, and Llama 3) for AI-powered code review, bug analysis, and code improvement suggestions. Automated code review workflows, reducing manual review effort by approximately 60% during testing. Implemented structured JSON-based responses for explainable AI feedback and scoring. Designed and developed a React + FastAPI platform featuring a code editor, file upload functionality, scoring dashboard, and terminal output.
Cultural Fit Analysis
The candidate's transition from HR/Recruiting to AI/ML, coupled with pursuing a Post Graduate Diploma in Data Engineering, indicates strong motivation and a proactive learning attitude. The personal projects demonstrate initiative and a passion for AI, which aligns well with an innovative and growth-oriented culture. However, the lack of team-based project experience beyond the internship makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges and integrate various AI components. The experience as an AI/ML Intern suggests a collaborative approach to development. However, the previous roles as an IT Recruiter and HR Executive do not directly demonstrate operational fit for a senior AI engineering role, and soft skills cannot be fully assessed from the provided data.