Building AI Agents, Machine Learning/AI Developer @CDM Smith, CogSci @IIT Delhi’23. Bridging Theory and Empirical Studies for Impact at the Intersection of Academia and Industry.

India

Bengaluru, Karnataka, India







Master's degree, Cognitive Science
Indian Institute of Technology, Delhi

Surge summer internship, Sense of Agency and control
Indian Institute of Technology, Kanpur
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My career involves working with interdisciplinary teams and explaining complicated scientific concepts to varied audiences. I believe my collaboration and communication skills will add to my strengths of being innovative and collaborative culture. My cognitive science education and research experience qualify me to contribute effectively. My expertise in cognitive sciences, judgement and decision making, behavioural sciences, and neurosciences, combined with my hands-on experience in cutting-edge research, makes me a good fit for your company's dynamic and inventive environment. My academic and research experiences have given me a diversified skill set that matches the post. I led an eye tracker-based research at the Indian Institute of Technology Delhi-analyse complex eye data to detect readers' mental states. For visualisation, pupil diameter and eye-gaze data were meticulously analysed using time-series analysis. IiT-Delhi-All India Institute of Medical Sciences (IT Delhi-AIIMS Delhi) to Creating a machine learning model to predict hand-raise movements was one of my major contributions. This research affects spinal cord injury (SCI) outside academia. The subjective and costly evaluation of post-injury movement execution is difficult for physiotherapists. To reduce human rater bias and improve accuracy and cost, I used machine learning to rate 2D video movement execution. My interdisciplinary approach to problem-solving includes deep learning models like Movenet for pose estimation and key point creation and standard machine-learning regression methods. My time at the Indian Institute of Technology Kanpur included designing and running a behavioural experiment on implicit control and the self-reference effect. In this capacity, I designed rigorous studies, analysed human data, and used t-tests and ANOVA to identify differences. This experience shows my ability to combine theoretical and empirical studies to advance cognitive sciences. I stand out for my technical skills and ability to apply scientific results. I've studied implicit control's effects on cognitive processes and rating bias in movement appraisal post-spinal cord injury to address real-world issues. These experiences have improved my analytical, critical, and adaptable skills, which are essential for cognitive and behavioural sciences.
Bengaluru
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mcp
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openai
Artificial Intelligence/ Machine learning Developer at CDM Smith, Aug 2025 - Present · 1 yr 1 mo, India, Honored to begin a new chapter with CDM Smith, diving into the world of Azure Databricks, Data Lake services, Computer Vision, Machine Learning, and Agentic AI systems. Each project here feels like another step in bridging data with intelligence turning raw streams into insights, and insights into action. Excited to explore how scalable cloud architectures and AI-driven agents can shape smarter, more sustainable solutions.
Software Developer at Encapsulate Labs, Jan 2024 - Jul 2025 · 1 yr 7 mos, Bengaluru, Karnataka, India, DRDO, Center of Artificial Intelligence and Robotics, Bangalore .
Master's degree, Cognitive Science, Indian Institute of Technology, Delhi
Surge summer internship, Sense of Agency and control, Indian Institute of Technology, Kanpur
github: https://github.com/Reachanwesha