Headline

AI/ML Intern | MSc Data Science | Deep Learning, Computer Vision & Agricultural AI | Aspiring Data Scientist

About

I am currently pursuing a Master of Science in Data Science, building upon a strong foundation in a Bachelor of Computer Applications gained through my BCA. My academic and professional journey has been driven by a deep interest in artificial intelligence, machine learning, deep learning, and data analytics. Along the way, I have gained industry exposure through internships, including at Hindustan Aeronautics Limited (HAL), where I developed an understanding of professional engineering environments and organizational workflows, and an AI/ML internship where I worked on computer vision applications, image analytics, and deep learning models for agricultural use cases. My research interests span both classical and emerging AI domains. I have worked on a research project titled "Hybrid Quantum GAN for High-Resolution Image Generation," which explored the integration of quantum computing principles with generative deep learning architectures. This experience strengthened my understanding of advanced machine learning concepts and reinforced my interest in developing intelligent systems capable of solving complex real-world problems. Currently, my research focuses on "Interpreting Latent Biochemically Regulated State Expressions in Sugarcane Using Multivariate Time-Series Signals." This work aims to investigate how plant physiological and biochemical states can be inferred from complex temporal sensor signals, enabling data-driven understanding of crop behavior and stress responses. Through this research, I am exploring the intersection of artificial intelligence, time-series analytics, agricultural AI, and explainable machine learning. I am passionate about leveraging data and intelligent technologies to bridge the gap between research innovation and practical industry applications.

Location

Bengaluru

AI stack

claude

deepseek

gemini

github copilot

hugging face

kimi

Work experience

AI/ML Intern at Agron GreenTech Pvt Ltd, Dec 2025 - Jun 2026 · 7 mos, Bengaluru, Karnataka, India, Projects in Computer vision: 1. Nutrient deficiency detection using ResNet18 2. Yellow sticky trap insects detection using YOLO V8

Technical Intern at Hindustan Aeronautics Limited (HAL), Oct 2024 - Nov 2024 · 2 mos, Authored statistical data validation scripts to process high-frequency manufacturing telemetry metrics. Structured raw manufacturing log preprocessing pipelines, reducing anomaly reporting latency. Partnered with cross-functional engineers to translate raw production signals into quality control dashboards.

Education

Masters in Data Science, Computer Vision, Christ University, Bangalore

Master of Science, Data Science, Christ University, Bangalore