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Python Engineer with 1+ years in AI/ML & Data Analytics
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Assessing your cultural and operational fit
Python Developer and AI engineer with a B.Tech in Artificial Intelligence and Data Science (CGPA 8.97) and hands-on experience building production-grade computer vision systems, RESTful APIs, and data analytics pipelines. Proficient in Python (OOP, Django, Pandas, NumPy), Oracle SQL, MongoDB, and Power BI. Delivered a real-time YOLO-based object detection system with sub-200ms alert latency and a sales ETL pipeline that cut reporting time by 30%. AWS-certified in Machine Learning and Generative AI. Seeking a Python Developer or Data Analyst role to build scalable, reliable solutions.
Sengunthar Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
QSpiders
Data Science Intern
December 1, 2025 – Present
Coimbatore, Tamil Nadu, India
Ruddo
Full Stack Developer Intern
January 1, 2024 – December 31, 2024
India
Blinkit Sales Analytics Dashboard
January 1, 2025 – December 31, 2025
Built an end-to-end sales analytics pipeline processing 8,500+ records in Oracle SQL and Power BI, reducing report generation time by 30% and surfacing 5 actionable KPIs for the business team. Authored 12 optimised Oracle SQL extraction queries and 8 custom DAX measures powering an interactive dashboard with multi-level drill-down, adopted for weekly business reporting.
Wild Animal Detection System
January 1, 2024 – December 31, 2024
Deployed a YOLO-based real-time animal detection system with a Django REST backend, delivering sub-200ms alert generation and logging 1,000+ detection events to MongoDB. Implemented adaptive exception-handling logic for low-light and partial-occlusion conditions, improving detection reliability from ~72% to ~89% accuracy in adverse scenarios. Designed a MongoDB schema with compound indexing optimised for high-frequency writes, reducing log-query retrieval time by ~55% versus an unindexed baseline.
Smart Traffic Management System
January 1, 2024 – December 31, 2024
Engineered a real-time AI traffic monitoring system in Python/OpenCV that automated signal timing across 4 junctions, eliminating manual intervention and reducing average signal-switch latency by ~40%. Architected a 6-module OOP pipeline with full class separation, cutting code duplication by ~60% and enabling independent unit testing of each detection and control layer. Optimised the OpenCV frame-processing pipeline by removing 3 redundant stages, increasing throughput to 30 FPS for stable real-time inference on commodity hardware.
Machine Learning Terminology and Process
AWS Training & Certification
June 1, 2026 – Present
Fundamentals of Generative AI
AWS Training & Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in AI, data science, and full-stack development, aligning well with innovative and technically challenging environments. Their participation in workshops and paper presentations indicates a proactive learning attitude and engagement with the tech community. The diversity of projects (computer vision, data analytics, e-learning) suggests adaptability and a broad technical curiosity, which can be beneficial in dynamic team settings. However, the experience level is still junior, which might require mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and teamwork through project descriptions. Their academic background in AI and Data Science, coupled with practical project experience, suggests a good operational fit for roles requiring data-driven solutions and AI integration. The internships indicate an ability to work in structured environments and contribute to internal tools and platforms.