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AI & Data Science Engineering student (B.Tech – CSE, AI & DS) with hands-on experience in data analytics, machine learning, deep learning, computer vision, NLP, and predictive analytics. Proficient in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn), with applied work through research projects, hackathons, and internships. Experienced in building real-time detection systems, content moderation/predictive-style models, and data-driven dashboards. Skilled in delivering scalable, experiment-driven AI solutions with collaboration across teams, and has conference publication experience.…AI & Data Science Engineering student (B.Tech – CSE, AI & DS) with hands-on experience in data analytics, machine learning, deep learning, computer vision, NLP, and predictive analytics. Proficient in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn), with applied work through research projects, hackathons, and internships. Experienced in building real-time detection systems, content moderation/predictive-style models, and data-driven dashboards. Skilled in delivering scalable, experiment-driven AI solutions with collaboration across teams, and has conference publication experience.

Dharini Kavya

Data Scientist, Data Analyst, AI Engineer, +2

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AI & Data Science Engineering student (B.Tech – CSE, AI & DS) with hands-on experience in data analytics, machine learning, deep learning, computer vision, NLP, and predictive analytics. Proficient in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn), with applied work through research projects, hackathons, and internships. Experienced in building real-time detection systems, content moderation/predictive-style models, and data-driven dashboards. Skilled in delivering scalable, experiment-driven AI solutions with collaboration across teams, and has conference publication experience.…AI & Data Science Engineering student (B.Tech – CSE, AI & DS) with hands-on experience in data analytics, machine learning, deep learning, computer vision, NLP, and predictive analytics. Proficient in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn), with applied work through research projects, hackathons, and internships. Experienced in building real-time detection systems, content moderation/predictive-style models, and data-driven dashboards. Skilled in delivering scalable, experiment-driven AI solutions with collaboration across teams, and has conference publication experience.

Available to hire

AI & Data Science Engineering student (B.Tech – CSE, AI & DS) with hands-on experience in data analytics, machine learning, deep learning, computer vision, NLP, and predictive analytics. Proficient in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn), with applied work through research projects, hackathons, and internships.

Experienced in building real-time detection systems, content moderation/predictive-style models, and data-driven dashboards. Skilled in delivering scalable, experiment-driven AI solutions with collaboration across teams, and has conference publication experience.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Tamil

Fluent

Hindi

Intermediate

Work Experience

Web Development Intern at EY Global Delivery Services

February 1, 2025 - March 31, 2025

Developed full-stack web applications using the MERN stack (MongoDB, Express, React, Node.js). Implemented frontend–backend integration and built RESTful APIs for application workflows. Worked in collaborative development environments following industry-standard development practices. Deployed a production-ready web application (AucXchange) with complete frontend–backend integration.

R&D Intern – AI & Computer Vision at Acutix Soft LLP

January 1, 2025 - Present

Worked on AI-driven computer vision solutions for crack detection and structural analysis in real-world inspection scenarios. Contributed to improving detection accuracy under varied surface and environmental conditions. Collaborated with cross-functional teams including AI and hardware to align model outputs with engineering requirements. Gained exposure to applied R&D workflows, experimental validation, and product-oriented problem solving.