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Software Engineer with 1+ years in AI, Machine Learning, and Computer Vision.
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Assessing your cultural and operational fit
Computer Science graduate and aspiring SDE specializing in building scalable, AI-driven applications. Expert at integrating Machine Learning and Computer Vision models into robust backend architectures. Strong foundation in DSA, software design patterns, and the full SDLC. Proven track record of delivering clean, production-ready code to solve complex engineering challenges.
Sri Venkateswara College of Engineering, Sriperumbudur
B.E · Computer Science and Engineering
August 1, 2022 – June 30, 2026
A.K.T Academy Matriculation Higher Secondary School
Higher Secondary Education
June 1, 2020 – May 31, 2022
Cognizant
Security Intern
February 1, 2026 – May 31, 2026
India
Xobin
Product Architect Intern
August 1, 2025 – January 31, 2026
India
Docu3C
AI Prompt Engineer Intern
March 1, 2025 – April 30, 2025
India
AI-Powered Interview & Proctoring Platform
June 1, 2026 – Present
Built a FastAPI interview platform featuring real-time AI evaluation and behavioral proctoring. Integrated AssemblyAI for audio question delivery and live speech-to-text transcription, alongside Groq LLM to generate questions evaluated via a First-Order Logic rubric. Used MediaPipe and TensorFlow.js to track eye-gaze variance and flag reading behaviors.
AutoCodex
June 1, 2026 – Present
Architected a Java-based automated code review platform integrating the Gemini 2.0 Flash API to analyze repository structures and enforce coding standards. Engineered batch GitHub integrations via Webhooks/APIs for seamless execution, delivering compliance tracking and context-aware AI suggestions.
AI Surveillance
June 1, 2026 – Present
Engineered a real-time video surveillance system employing Python and TensorFlow to process live camera feeds. Integrated Computer Vision pipelines for object detection and anomaly recognition, establishing a low-latency automated alert mechanism to enhance physical security.
Liveness Detection
June 1, 2026 – Present
Developed a client-side face liveness detection module utilizing TensorFlow.js for biometric spoofing prevention. Optimized Deep Learning and Computer Vision models for browser-based execution, achieving high-accuracy, sub-500ms inference times without reliance on server-side processing.
Deepfake Detection
June 1, 2026 – Present
Built a robust detection pipeline utilizing advanced Deep Neural Networks (DNNs) to identify spatial and temporal artifacts in morphed media. Implemented real-time stream analysis to accurately classify manipulated content and ensure digital media integrity.
Microsoft Azure Certified
Microsoft Azure
June 1, 2026 – Present
Zscaler Certified
Zscaler
June 1, 2026 – Present
Machine Learning Specialization
Unknown
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, from AI-powered interview platforms to deepfake detection, showcases a strong passion for technology and continuous learning. The internships in security, product architecture, and AI prompt engineering demonstrate adaptability and a willingness to explore different facets of software development. This breadth of interest and proactive project engagement suggests a good cultural fit for dynamic, innovation-driven environments. The competitive programming achievements also indicate a drive for excellence and problem-solving.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, often tackling complex, real-world challenges. The internships suggest an ability to adapt to different technical environments (security, product architecture, AI prompt engineering). The focus on building AI-driven applications aligns well with roles requiring innovation and a forward-thinking mindset. However, the descriptions are primarily technical, offering limited insight into collaboration, communication, or leadership styles.