
Nihaal Anupoju
Technology / Internet
About Nihaal Anupoju:
Driven and innovative Computer Science graduate with expertise in machine learning, deep learning, NLP , and computer vision. Passionate about building data-driven solutions that enhance efficiency and user experiences. Seeking opportunities as an AI/ML Engineer to tackle complex challenges with fresh ideas and creative problem-solving.
Experience
• AI Engineer Intern, Deep Algorithms Solutions (Hyderabad, Telangana, India)
December 2024 – April 2025
Researched and prototyped secure authentication systems leveraging Vision-Language Models (VLMs) and Large Language Models (LLMs).
Designed and implemented a real-time hand-gesture authentication pipeline, evaluating architectures including ResNet50, DenseNet121, and a custom Vision Transformer (ViT).
Collaborated closely with a peer and senior mentor to iterate on model development, training, and deployment within strict confidentiality constraints.
• AI Engineer, Artificial Intelligence Club VIT Chennai (Chennai, Tamil Nadu, India)
April 2024 – November 2024
Led planning and execution of AI workshops and hackathons, fostering community skills in machine learning and deep learning.
Spearheaded the initial architecture and RAG-based design of an AI-powered chatbot to enhance club communications, contributing to requirement gathering, system design, and prototype development.
• AI Research Intern, CSIR Fourth Paradigm Institute (Bangalore, India)
September 2023 – December 2023
Investigated privacy-preserving learning frameworks, including Differentially Private Hybrid Federated and Centralized Learning with BigGAN.
Explored integration of generative models into secure, distributed AI workflows to balance performance with data privacy.
• Machine Learning Engineer, Data Science Club VIT Chennai (Chennai, Tamil Nadu, India)
February 2023 – September 2023
Developed a Flask-based web application for real-time image enhancement, integrating autoencoder models for denoising, deblurring, and colorization.
Optimized models for low-latency inference and built a user interface for live demonstrations, enhancing club members’ understanding of deep learning pipelines.
Education
• Vellore Institute of Technology, B.Tech in Computer Science and Engineering (2021 – 2025)
• FIITJEE, High School Diploma in Mathematics, Physics & Chemistry (May 2018 – April 2020)
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