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Hyderabad
Nihaal Anupoju

Nihaal Anupoju

AI ENGINEER

Technology / Internet

Hyderabad, Hyderabad

Social


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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