Highly adaptable aspiring engineer with a strong foundation in computer science and a passion for applying AI/ML to real-world challenges. Successfully combined academic excellence with practical experience through internships and projects. Expertise spans machine learning model development, deep learning for image processing and climate prediction, full-stack development (web technologies), and data analysis/visualization. Seeking a challenging role to leverage technical skills and research experience in a collaborative and innovative environment.
Key Highlights:
- Interned at DRDO, contributing to AI/ML projects aimed at enhancing national security.
- Engineered machine learning and deep learning systems for diverse applications including predictive modeling and automated data processing.
- Integrated full-stack development, AI, and cybersecurity for an AI-powered real estate listing and valuation system.
- Selected as a delegate for the Harvard College Project for Asian and International Relations (HPAIR) Asia Conference 2024, joining a community of global leaders and changemakers.
- Ongoing collaboration with a professor from Florida State University on AI/ML projects addressing environmental and climatic challenges.
- Organized a national technical fest attended by 500+ students, showcasing leadership and team coordination.
- Upcoming publications on advanced classification techniques, predictive modeling, and integrative ML approaches.
Remote: Yes - remote, hybrid, or on-site
Willing to relocate: Yes
Technologies: PyTorch, TensorFlow, Pandas, NumPy, Scikit-Learn, NLTK, SpaCy, RNN, Image Processing, LLM, Keras, Gen AI, GPT, CNN, SQL, PySpark, MongoDB, React.js
Résumé/Email: https://drive.google.com/file/d/1ygVU3ogw6TB-M81sSMQMpqob_ez...
Highly adaptable aspiring engineer with a strong foundation in computer science and a passion for applying AI/ML to real-world challenges. Successfully combined academic excellence with practical experience through internships and projects. Expertise spans machine learning model development, deep learning for image processing and climate prediction, full-stack development (web technologies), and data analysis/visualization. Seeking a challenging role to leverage technical skills and research experience in a collaborative and innovative environment.
Key Highlights:
- Interned at DRDO, contributing to AI/ML projects aimed at enhancing national security.
- Engineered machine learning and deep learning systems for diverse applications including predictive modeling and automated data processing.
- Integrated full-stack development, AI, and cybersecurity for an AI-powered real estate listing and valuation system.
- Selected as a delegate for the Harvard College Project for Asian and International Relations (HPAIR) Asia Conference 2024, joining a community of global leaders and changemakers.
- Ongoing collaboration with a professor from Florida State University on AI/ML projects addressing environmental and climatic challenges.
- Organized a national technical fest attended by 500+ students, showcasing leadership and team coordination.
- Upcoming publications on advanced classification techniques, predictive modeling, and integrative ML approaches.