Open to opportunities

Dhruv Devaliya

@dhruvdevaliya

Message

Aspiring machine learning engineer building scalable AI systems with deep learning and agentic LLMs.

India

Message

What I'm looking for

I’m looking for a role where I can build production-ready ML/LLM systems end-to-end—focusing on strong evaluation, scalable deployment, and measurable impact—while collaborating with a team that values analytical problem-solving and experimentation.

I’m an aspiring machine learning engineer studying B.Tech in Artificial Intelligence and Data Science, and I’m focused on turning complex ideas into real, production-ready AI solutions. I build end-to-end ML pipelines—from data preprocessing and feature engineering to training, evaluation, deployment, and optimization.

I’ve hands-on experience across classification, regression, recommendation systems, and LLM fine-tuning (LoRA, QLoRA), plus NLP, Generative AI, and Agentic AI. Through projects like StratAI, DataMate, DhartiQ, and Carbon Copilot, I’ve worked with LangChain/LangGraph, RAG, MCP, and Page Indexing to create systems that deliver measurable improvements in time, accuracy, and automation.

I’m also actively competing and publishing—earning runner-up positions in national and international ideathons and sharing research via “The Impact of AI in the Indian Economy.” As a Data Scientist Intern, I trained and tuned deep learning models for image classification and sequence prediction, improving baseline accuracy by ~12% and delivering stakeholder-ready performance reporting.

Experience

Work history, roles, and key accomplishments

Data Scientist Intern

NullClass

Jan 2025 - Mar 2025 (2 months)

Designed and trained CNN and RNN models for image classification and sequence prediction using TensorFlow and PyTorch, improving baseline accuracy by ~12% through architecture tuning and regularization. Built end-to-end preprocessing and feature engineering workflows, tuned hyperparameters, evaluated with accuracy/F1/AUC-ROC, and deployed production-ready solutions with performance reporting for s

CNN RNN TensorFlow PyTorch data preprocessing Feature Engineering Hyperparameter Tuning Model Evaluation (F1 AUC ROC)