Vatsal Thakkar Email and Phone Number
Vatsal Thakkar personal email
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I am currently pursuing a Master's Degree in Computer Science from The University of Georgia. I am passionate about Generative Deep Learning Models, including GPT, BERT, Stable Diffusion, and GANs, as well as Multimodal Representation Learning.💼 Professional Experience:As a Research Assistant at The Hoarfrost Lab, I'm currently contributing to a cutting-edge project that involves integrating textual and DNA sequence data using the Multimodal Language Model.In my most recent role as an LLM and AI Engineer at ColomboAI, I led the implementation of the RAG (Retrieval Augmented Generation) Pipeline. Along with this, I designed and executed a Mixture-of-Experts (MoE) methodology. I also engineered effective prompts while utilizing advanced prompt engineering strategies.During my time as a Junior Software Engineer at ECPL Edtech, India, I developed predictive analytics models, data visualization dashboards, and scalable software systems using Machine Learning and Flask Web Framework.🚀 Projects:I'm currently working on a fascinating project involving text-to-image generative Diffusion Models, where I'm exploring the explainability of images generated by Stable Diffusion from textual prompts.🧠 Skills:Programming Languages: Proficient in Python, JavaScript, and Java.AI Frameworks: Experienced with PyTorch and TensorFlow.Web Development: Skilled in Flask, Django, React.js, and Node.js.Database Management: Proficient in MySQL and MongoDB.Tools: Git, Docker, NLP techniques, and LLMs.#DeepLearning #NLP #GenerativeAI #MultimodalAI #MachineLearning #ComputerVision
Asml
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Ai Engineer - MlopsAsml Nov 2024 - PresentVeldhoven, Nl
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Llm & Ai EngineerColomboai Dec 2023 - Nov 2024• Architected and developed low latency RAG (Retrieval Augmented Generation) pipeline with a Mixture-of-Experts strategy for Search Agent RALM, enabling dynamic model selection based on user queries, mitigating hallucination in LLM-generated responses.• Deployed and monitored Generative models (Diffusion, LLMs) and Vector DBs on Google Cloud Platform endpoints.• Developed ETL Pipeline for LLM-driven audio summarizer as an event-driven serverless workflow using AWS Lambda and Bedrock.• Engineered effective prompts through advanced prompt engineering strategies, enhancing the accuracy and relevance of LLM outputs.• Implemented microservices architecture using Docker and developed RESTful APIs improving system scalability and maintainability. -
Graduate Lab AssistantUniversity Of Georgia - Franklin College Of Arts And Sciences Jan 2024 - May 2024Athens, Ga, Us• Led lab courses independently as the Graduate Lab Assistant, handling teaching and grading responsibilities in line with university policies.• Provided hands-on support to students during experiments, offering guidance on techniques and procedures.• Addressed student inquiries, and concerns, and provided constructive feedback on their performance. -
Associate Researcher - MlThe University Of Georgia Aug 2023 - May 2024Athens, Ga, Us• Collaborated on a research project focused on developing a Multimodal Language model to integrate textual and DNA sequence data. • Developed an ETL Pipeline to process extensive DNA sequence and textual description data, utilizing Apache Airflow. • Conducted experiments and hyperparameter tuning on models using WandB and Validated model results using both standard metrics and domain-specific benchmarks.• Employed advanced prompt engineering techniques to craft prompts for LLMs (GPT-3.5/4 and Llama-2), extracting meaningful textual descriptions from structured DNA data, and enabling seamless inter-modality communication. -
Molecular Lab Student AssistantThe University Of Georgia Apr 2023 - May 2024Athens, Ga, Us• Performed data entry and analysis tasks, ensuring accuracy and reliability of molecular lab data.• Developed real-time interactive charts to visualize complex molecular data, aiding in data interpretation and decision-making processes.• Prepared PCR reagents following stringent laboratory guidelines, maintaining the highest standards of quality control and lab safety.• Utilized Python scripting to automate various tasks on the Opentron-OT2 platform, resulting in a remarkable 20-30% increase in efficiency and a reduction in manual overhead.
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Junior Software EngineerEcpl Edtech Jan 2021 - Jul 2022• Developed a predictive analytics model tailored to analyze user performance on tests by incorporating diverse parameters, which led to a substantial 10% enhancement in the precision of personalized test preparation plans • Created intuitive and actionable web interface by leveraging data visualization techniques and implementing RESTful APIs, enabling users to gain valuable insights for informed decision-making, resulting in a significant 25% reduction in data analysis time • Collaborated with cross-functional teams to design scalable software systems, utilizing Machine Learning Algorithms, Flask Web Framework, SQL, and adhered to best DevOps practices such as CI/CD pipelines and Agile methodologies. • Performed load and stress testing on web applications and developed automated test scripts for RESTful APIs using Postman.
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Managing DirectorShree Narnarayan Enterprise Feb 2019 - Nov 2021
Vatsal Thakkar Education Details
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The University Of GeorgiaComputer Science -
L.D. College Of EngineeringComputer Engineering
Frequently Asked Questions about Vatsal Thakkar
What company does Vatsal Thakkar work for?
Vatsal Thakkar works for Asml
What is Vatsal Thakkar's role at the current company?
Vatsal Thakkar's current role is Software Engineer - Machine Learning | MS in Computer Science | Passionate about Data, Deep Learning & Generative AI | MLOps | LLMs.
What is Vatsal Thakkar's email address?
Vatsal Thakkar's email address is va****@****ail.com
What schools did Vatsal Thakkar attend?
Vatsal Thakkar attended The University Of Georgia, L.d. College Of Engineering.
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