AI Engineer with 2+ years in AI/ML application development and deployment.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Having 2 years of experience in AI/ML application development and deployment. Expertise in Machine Learning, Deep Learning, Computer Vision and Predictive Analytics. Proficient in Python, TensorFlow, PyTorch, Scikit-Learn, OpenCV and FastAPI .
Jansons Institute of Technology
B.Tech · Computer Science and Engineering (Artificial Intelligence & Data Science)
August 1, 2020 – June 30, 2024
SETNEXT TECHNOLOGIES PVT. LTD
AI/ML ENGINEER
August 1, 2024 – Present
Erode, Tamil Nadu, India
Tyre/Bundle Counting Computer Vision
August 1, 2024 – Present
Developed a real-time Tyre/Bundle Counting System using Computer Vision, object detection and multi-object tracking techniques. Implemented automated counting logic using centroid tracking and object identification for accurate movement tracking. Designed polygon-based counting zones with configurable entry and exit conditions for warehouse and conveyor environments. Built duplicate-count prevention mechanisms using object IDs, positional Thresholds and frame cooldown strategies. Enhanced counting accuracy through trajectory analysis, centroid optimization and event detection techniques. Integrated real-time visualizations including bounding boxes, tracking IDs, counting statistics and zone overlays. Processed live CCTV and IP camera streams with low-latency inference for continuous monitoring and analytics. Improved inventory visibility and operational efficiency by automating manual counting processes.
Retail Sales Forecasting Platform
August 1, 2024 – Present
Developed an end-to-end Retail Sales Forecasting Platform to predict product demand and support inventory planning. Designed data ingestion, transformation and feature engineering pipelines using enterprise retail data. Built XGBoost-based forecasting models to predict sales demand at product and category levels. Engineered forecasting features including lag variables, rolling averages, seasonality patterns and trend indicators. Automated data preprocessing, model training, evaluation, prediction workflows using Python and FastAPI. Implemented model validation and performance monitoring using RMSE, MAE and R2 metrics. Developed scalable REST APIs for forecast generation and real-time prediction services. Enabled demand planning, inventory optimization and sales trend analysis through predictive analytics.
Data Science Workshop
AcornHive
June 1, 2026 – Present
Python Programming Internship Certification
Code Clause
June 1, 2026 – Present
Neural Networks and Deep Learning
GUVI
March 1, 2024 – Present
Network Essentials
Cisco
April 1, 2023 – Present
Programming Basics (C)
Great Learning
March 1, 2023 – Present
AWS Academy Cloud Foundations
AWS Academy
December 1, 2022 – Present
Programming Fundamentals Using Python Part 1 & Part 2
Infosys
November 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving approach to AI/ML, which aligns well with a results-oriented culture. The diversity of projects (computer vision, sales forecasting, generative AI) indicates adaptability and a broad interest in AI applications. The academic background in AI & Data Science further supports a strong foundational fit for an AI-focused role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, end-to-end solutions, suggesting good problem-solving and project execution skills. The mention of collaborating with cross-functional teams implies teamwork capabilities. However, without direct assessment data, specific soft skill strengths and operational fit are inferred from project descriptions and responsibilities.