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Hi, I'm Yash Dhakade, an AI Engineer with 2+ years of experience in designing, building, and deploying AI agents, generative AI pipelines, and workflow automation for real-world business clients. I enjoy translating complex requirements into practical, scalable solutions, from data gathering and architecture through backend integration, deployment, and ongoing support. I’m comfortable working independently or with cross-functional teams across data, ML, and product. I'm currently pursuing an MSc in Advanced Computer Science with AI at the University of Strathclyde, focusing on applied statistics, hypothesis testing, and regression, with a dissertation on auditing bias in retrieval-augmented generation systems using cultural heritage archives. I thrive on hands-on experimentation, rigorous evaluation, and cost-conscious deployment, and I have the right to work in the UK.…Hi, I'm Yash Dhakade, an AI Engineer with 2+ years of experience in designing, building, and deploying AI agents, generative AI pipelines, and workflow automation for real-world business clients. I enjoy translating complex requirements into practical, scalable solutions, from data gathering and architecture through backend integration, deployment, and ongoing support. I’m comfortable working independently or with cross-functional teams across data, ML, and product. I'm currently pursuing an MSc in Advanced Computer Science with AI at the University of Strathclyde, focusing on applied statistics, hypothesis testing, and regression, with a dissertation on auditing bias in retrieval-augmented generation systems using cultural heritage archives. I thrive on hands-on experimentation, rigorous evaluation, and cost-conscious deployment, and I have the right to work in the UK.

Yash Dhakade

AI Engineer, AI Developer, Data Scientist, +4

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Hi, I'm Yash Dhakade, an AI Engineer with 2+ years of experience in designing, building, and deploying AI agents, generative AI pipelines, and workflow automation for real-world business clients. I enjoy translating complex requirements into practical, scalable solutions, from data gathering and architecture through backend integration, deployment, and ongoing support. I’m comfortable working independently or with cross-functional teams across data, ML, and product. I'm currently pursuing an MSc in Advanced Computer Science with AI at the University of Strathclyde, focusing on applied statistics, hypothesis testing, and regression, with a dissertation on auditing bias in retrieval-augmented generation systems using cultural heritage archives. I thrive on hands-on experimentation, rigorous evaluation, and cost-conscious deployment, and I have the right to work in the UK.…Hi, I'm Yash Dhakade, an AI Engineer with 2+ years of experience in designing, building, and deploying AI agents, generative AI pipelines, and workflow automation for real-world business clients. I enjoy translating complex requirements into practical, scalable solutions, from data gathering and architecture through backend integration, deployment, and ongoing support. I’m comfortable working independently or with cross-functional teams across data, ML, and product. I'm currently pursuing an MSc in Advanced Computer Science with AI at the University of Strathclyde, focusing on applied statistics, hypothesis testing, and regression, with a dissertation on auditing bias in retrieval-augmented generation systems using cultural heritage archives. I thrive on hands-on experimentation, rigorous evaluation, and cost-conscious deployment, and I have the right to work in the UK.

Available to hire

Hi, I’m Yash Dhakade, an AI Engineer with 2+ years of experience in designing, building, and deploying AI agents, generative AI pipelines, and workflow automation for real-world business clients. I enjoy translating complex requirements into practical, scalable solutions, from data gathering and architecture through backend integration, deployment, and ongoing support. I’m comfortable working independently or with cross-functional teams across data, ML, and product.

I’m currently pursuing an MSc in Advanced Computer Science with AI at the University of Strathclyde, focusing on applied statistics, hypothesis testing, and regression, with a dissertation on auditing bias in retrieval-augmented generation systems using cultural heritage archives. I thrive on hands-on experimentation, rigorous evaluation, and cost-conscious deployment, and I have the right to work in the UK.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Research Intern at NeuraSearch Laboratory

October 1, 2025 - February 1, 2026

Collected a large-scale historical dataset (1TB+) and built a RAG pipeline for experiments and LLM-based evaluation workflows. Benchmarked retrieval strategies (BM25 vs. dense, fixed vs. semantic chunking) under realistic noise conditions, improving recall by 24% on historical language queries. Analyzed retrieval quality, document length coverage, hallucination rates, recall and precision. Applied RECOMP compression to the prompt pipeline with LangSmith observability, reducing token overhead by 48% while maintaining faithfulness scores, directly reducing API costs.

AI Engineer at CL Techno

February 1, 2024 - February 1, 2025

Fine-tuned a pre-trained deep learning model on a custom emotion dataset using PyTorch across 12+ experimental runs with iterative augmentation and hyperparameter tuning, achieving 80% multi-class accuracy. Built a fully automated end-to-end ML pipeline covering preprocessing, augmentation, training, and inference. Containerised and deployed the real-time face and emotion recognition system using Docker, reducing environment-related deployment failures to zero and enabling consistent rollout across client infrastructure.

Data Analyst (Intern) at Gamaka AI

July 1, 2023 - December 1, 2023

Interpreted and analysed business data using Python, SQL, and statistical techniques to identify trends and produce actionable insights for client-facing reports. Developed data collection and analysis pipelines in Python and SQL, improving data quality and reducing manual processing overhead. Handling missing values, outlier detection, and schema inconsistencies across structured and semi-structured datasets, ensuring data quality for downstream analysis and model training. Created dashboards and visualisations with Power BI to support stakeholder decision-making and monitor key business metrics.