AI Engineer with less than a year in Python scripting & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented AI/ML graduate with hands-on experience in Python scripting, Linux environments, REST API development, and multi-step automation workflows. Proven ability to break down complex technical tasks into precise, structured, step-by-step processes directly aligned with LLM annotation and CUA trajectory creation. Experienced in designing, documenting, and validating agentic workflows, data pipelines, and computer-vision automation systems. Strong analytical mindset with high consistency in producing structured outputs for AI training and evaluation.
Kalasalingam Academy of Research and Education, Madurai
B.Tech · Artificial Intelligence and Machine Learning
January 1, 2021 – January 1, 2025
Gowtham Junior College, Badvel
Intermediate · MPC
January 1, 2019 – January 1, 2021
Gopi Reddy High School, Badvel
Class X
January 1, 2018 – January 1, 2019
ThopsTech Career Solutions
Java Full-Stack Development Intern
January 1, 2026 – Present
India
Virtual Mouse Using Hand Gestures, Eye Tracking & Speech Recognition
June 10, 2026 – Present
• Developed a touchless Human-Computer Interaction system enabling cursor movement, clicking, and scrolling through gestures and voice commands. • Integrated computer vision and speech recognition to replace traditional input devices and improve accessibility for physically challenged users.
E-Kissan Store – Smart Farming Technology Platform
June 10, 2026 – Present
• Developed an agriculture support platform to assist farmers with crop disease detection and modern farming insights. • Designed a digital marketplace enabling farmers to buy and sell agricultural products including fertilizers and pesticides. • Implemented a machinery rental system allowing farmers to access tractors and agricultural equipment without ownership costs. • Added a Latest Technology in Farming module to educate farmers about modern agricultural techniques.
Online Banking Management System
June 10, 2026 – Present
• Designed and documented end-to-end RESTful API workflows for account management, fund transfers, and transaction tracking — practising the same structured, step-by-step specification required for LLM trajectory annotation. • Implemented JWT authentication and role-based access control, producing precise technical specifications for each auth flow, mirroring the detail and accuracy demanded in CUA task trajectories. • Containerised the application with Docker and deployed on AWS EC2, writing reproducible, documented runbooks that align with AI automation workflow documentation. • Used Git for version-controlled iterative development; resolved ambiguous requirements through structured reasoning and clear decision documentation.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI/ML, from accessibility solutions (Virtual Mouse) to agricultural technology (E-Kissan Store) and banking systems. This breadth indicates adaptability and a willingness to apply AI in various domains. The focus on practical, problem-solving projects aligns with an innovative and results-oriented culture. The stated soft skills like team collaboration and communication also suggest a good cultural fit for a collaborative engineering environment.
Soft Skills & Operational Fit
The candidate highlights a strong focus on repetitive work, keen eye for detail, time management, team collaboration, problem-solving, clear written & verbal communication, fast learner, and client communication. These soft skills are beneficial for an AI Engineer role, particularly the emphasis on detail and structured documentation, which aligns well with AI training and evaluation tasks. The ability to break down complex tasks into precise steps is a strong operational fit.