Professional Overview
I am a Computer Science Engineering student at Chitkara University with hands-on experience in AI engineering, robotics video annotation, data annotation, and AI model evaluation. I have worked on developing AI-powered applications using Retrieval-Augmented Generation (RAG), LangGraph, LLM APIs, and structured data workflows. My experience includes annotating robotics and human-object interaction videos, creating precise frame-level captions, evaluating AI-generated outputs, identifying inconsistencies, and maintaining high annotation quality. I have also contributed to AI benchmarking, adversarial prompt evaluation, and machine learning projects involving fraud detection and image colorization. My technical skill set includes Python, Java, JavaScript, SQL, Machine Learning, NLP, PyTorch, TensorFlow, and Git. I bring strong attention to detail, analytical thinking, consistency, and the ability to follow complex technical guidelines. I am interested in contributing to challenging AI training, robotics, data quality, and model evaluation projects through remote freelance, part-time, or contract opportunities.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Annotated robotics video clips with frame-level labels and action captions
- Captioned human, hand, object and tool actions per detailed guidelines
- Self-reviewed work and flagged ambiguous or low-quality footage
Key Achievements / KPIs
- Annotated 3,500+ robotics video clips in 25 days at 98% accuracy
- Peaked at 400+ clips in one day and 80+ hours in a peak week
- Earned the AI Data & Evaluation Scholar (Level I) credential, Sep 2026
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Develop an agentic customer-support system using RAG, LangGraph and LLM APIs
- Design embedding and retrieval pipelines grounded in enterprise knowledge
- Test and evaluate response accuracy, consistency and reliability
- Identify issues and improve the quality of AI-generated outputs
Education
Field of Study: Generative AI Mastery
Field of Study: SQL
Field of Study: Computer Science Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
