Applied Scientist AI/ML Intern - RAG & LLM Fine-Tuning Expert

Varad Acharya

480-***-**** **********@*****.*** Tempe, AZ linkedin.com/in/varadaacharya github.com/TheGujratiCoder Professional Summary

Applied Scientist and AI Engineer with a Master’s in Computer Science and hands-on experience building Scalable RAG Frameworks and Computer Vision systems. Proven expertise in fine-tuning LLMs

(Mistral/Llama), architecting Q&A pipelines, and deploying deep learning models to production. Published researcher (IEEE) with a strong focus on AI evaluation metrics and document understanding. Passionate about applying Generative AI to Legal and FinTech domains. Technical Skills

Generative AI: RAG Pipelines, LLM Fine-Tuning (LoRA/QLoRA), OpenAI/Gemini APIs, LangChain, Vector DBs. Computer Vision & NLP: PyTorch, TensorFlow, Document Understanding, CNNs, Transformers, OCR. Engineering: ETL Pipelines, Docker, Kubernetes, Python, SQL, REST APIs (FastAPI). Research: Model Evaluation (Recall@k, Groundedness), Hypothesis Testing, IEEE Publication. Professional Experience

Gleam Technologies Dec 2025 – Present

Machine Learning Engineer Intern (AI Systems) Tempe, AZ

• Designing and implementing a scalable Q&A RAG framework to handle complex user queries with high accuracy.

• Building tools to evaluate end-to-end AI quality, tracking metrics like groundedness and hallucination rates.

• Optimizing ETL data pipelines to ingest and transform unstructured data from various sources for model consumption.

• Collaborating with engineers to integrate fine-tuned LLMs into production systems, improving response latency. Tata Consultancy Services Mar 2025 – Jul 2025

AI Engineer / Applied Scientist Intern Gandhinagar, Gujarat

• Fine-tuned and deployed Large Language Models (LLMs) including TinyLLaMA/Mistral for domain-specific tasks.

• Developed and productionized complex NLP models for text analysis, ensuring robustness against adversarial inputs.

• Conducted research on model performance, implementing optimizations that reduced inference costs by 20%.

• Created documentation and demonstrated technical workflows to stakeholders to ensure alignment on AI capabilities.

Infixzon Technologies Oct 2023 – May 2024

Data Engineer Intern Ahmedabad, Gujarat

• Built Extract, Transform, and Load (ETL) pipelines to prepare large datasets for downstream machine learning tasks.

• Ensured data quality and consistency, facilitating the training of accurate predictive models. Key Projects

OmniLens: Media Analysis & Computer Vision PyTorch, CV, NLP

• Developed a deep learning system for digital media analysis, utilizing Computer Vision (CNNs) to detect anomalies.

• Integrated NLP techniques to analyze associated metadata, creating a multi-modal document understanding pipeline.

• Deployed the model using FastAPI, handling real-time inference requests with high throughput. Analytical Framework Research IEEE Publication

• Published peer-reviewed research on optimizing decision support systems using data-driven frameworks.

• Experience creating academic publications and conducting rigorous research as part of a scientific program. Education

Arizona State University Tempe, AZ

Master of Science in Computer Science Aug 2025 – Present

• Focus: Artificial Intelligence, Machine Learning, Computer Vision. GPA: 3.33 Nirma University Ahmedabad, Gujarat

Bachelor of Technology in Computer Science Sep 2021 – May 2025

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