Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a passionate and dedicated student pursuing a Bachelor of Technology in Computer Science and Engineering. My journey in technology has led me to dive into various projects and internships that have honed my skills in machine learning and software development. I enjoy transforming complex problems into efficient solutions, whether it’s through designing intelligent systems or developing scalable applications. My goal is to leverage technology for impactful change while continually learning and growing in this dynamic field.…I am a passionate and dedicated student pursuing a Bachelor of Technology in Computer Science and Engineering. My journey in technology has led me to dive into various projects and internships that have honed my skills in machine learning and software development. I enjoy transforming complex problems into efficient solutions, whether it’s through designing intelligent systems or developing scalable applications. My goal is to leverage technology for impactful change while continually learning and growing in this dynamic field.

Siddharth Chaudhary

AI Developer, AI Engineer, App Developer, +1





I am a passionate and dedicated student pursuing a Bachelor of Technology in Computer Science and Engineering. My journey in technology has led me to dive into various projects and internships that have honed my skills in machine learning and software development. I enjoy transforming complex problems into efficient solutions, whether it’s through designing intelligent systems or developing scalable applications. My goal is to leverage technology for impactful change while continually learning and growing in this dynamic field.…I am a passionate and dedicated student pursuing a Bachelor of Technology in Computer Science and Engineering. My journey in technology has led me to dive into various projects and internships that have honed my skills in machine learning and software development. I enjoy transforming complex problems into efficient solutions, whether it’s through designing intelligent systems or developing scalable applications. My goal is to leverage technology for impactful change while continually learning and growing in this dynamic field.

Available to hire

I am a passionate and dedicated student pursuing a Bachelor of Technology in Computer Science and Engineering. My journey in technology has led me to dive into various projects and internships that have honed my skills in machine learning and software development.

I enjoy transforming complex problems into efficient solutions, whether it’s through designing intelligent systems or developing scalable applications. My goal is to leverage technology for impactful change while continually learning and growing in this dynamic field.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Work Experience

AI Engineering Intern at IQVIA

August 1, 2025 - January 31, 2026

Designed and deployed a Machine Learning–driven customer support solution using a Retrieval-Augmented Generation (RAG) architecture, reducing manual ticket handling effort by 40%. Built scalable data pipelines to ingest, preprocess, and embed 100k+ unstructured records, enabling high-relevance semantic retrieval. Evaluated embedding models and similarity algorithms using precision@K and confidence scoring, improving top-K retrieval accuracy by 25%. Implemented performance monitoring and logging pipelines to support data-driven iteration and model improvement. Collaborated with stakeholders to translate business requirements into ML solution design and actionable insights. Developed end-to-end ML workflows integrating Python services, vector databases, and Streamlit UI with robust validation and error handling.

Research Intern at SAGIN, National Institute of Technology, Calicut

May 1, 2025 - July 31, 2025

Applied reinforcement learning algorithms to optimize task scheduling across satellite, UAV, and ground nodes under dynamic network constraints. Improved system responsiveness by 15% and operational efficiency by 20% through algorithm tuning and performance evaluation. Analyzed statistical simulation outputs to identify high-impact features affecting latency and energy consumption. Tuned reward functions and learning parameters to achieve stable convergence within 200 episodes. Developed visualization and monitoring scripts to communicate performance metrics and convergence trends to stakeholders. Reduced overall energy consumption by 10% through optimization of scheduling policies.