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AI Research Engineer with less than a year in full-stack ML engineering & computer vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech student specialising in Artificial Intelligence and Data Science with hands-on experience in full-stack ML engineering, backend development, and computer vision. Proven track record of deploying production-grade ML systems during a 6-month industry internship.
Vishwakarma University
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Translytics Solutions Ltd
Software Developer Intern
October 1, 2025 – March 1, 2026
India
Research Agent — AI-Powered Multi-Tool System
April 1, 2026 – May 1, 2026
Built a fully autonomous AI research agent capable of dynamically selecting and invoking tools (Wikipedia, ArXiv, Scholarly search) based on the query context using the aisuite library. Designed and deployed a containerised multi-service architecture using Docker with integrated database persistence, demonstrating production-level software design. Implemented a modular tool-calling interface, enabling easy extension of agent capabilities with new search or API-based tools.
View ProjectPlayer & Ball Detection in Football Video
July 1, 2024 – March 1, 2026
Designed and trained a computer vision pipeline to detect and track players and the ball across continuous video frames using YOLOv5 and ByteTracker. Applied image segmentation and Roboflow for data labelling, augmentation, and model training; achieved robust multi-object tracking across variable camera angles. Produced annotated video output suitable for match performance analysis, demonstrating end-to-end ML product delivery.
View ProjectDeep Learning Specialization
DeepLearning.AI (Coursera)
January 1, 2024 – Present
Achieved an excellent score of 94%, indicating a very strong grasp of the core concepts and practical applications relevant to a Data Scientist role with an AI focus.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI applications (agentic AI, computer vision for sports analytics), aligning well with an innovative and research-oriented culture. The internship experience shows an ability to integrate into a professional development environment and contribute to production systems. The breadth of skills and technologies used across projects and experience indicates adaptability and a willingness to explore diverse technical challenges. The psychometric test score, however, suggests potential areas for growth in work attitude or team collaboration, which are important for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest good problem-solving skills, an ability to work in a team (Git, code reviews), and a proactive approach to learning and applying new technologies. The psychometric test score is below average, which might indicate potential areas for development in logical reasoning, stress handling, or team collaboration, but more context is needed for a definitive assessment. The English test score is moderate, suggesting communication clarity is acceptable but could be improved.