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Machine Learning Engineer with 5+ years building production ML systems specializing in generative AI, deep learning, and computer vision. Experienced architecting end-to-end ML pipelines, deploying GPU-optimized models, and implementing scalable solutions across recommendation systems, NLP, and multi-modal AI. Professional experience includes developing large-scale semantic similarity pipelines using LLM embeddings and PyTorch, building natural language search with RAG, migrating legacy Java services to Python/Django, and containerizing with Docker/Kubernetes. Also delivered AI-driven automation and deep learning projects for classification and NLP-to-SQL, with measurable improvements in relevance, performance, and operational efficiency.…Machine Learning Engineer with 5+ years building production ML systems specializing in generative AI, deep learning, and computer vision. Experienced architecting end-to-end ML pipelines, deploying GPU-optimized models, and implementing scalable solutions across recommendation systems, NLP, and multi-modal AI. Professional experience includes developing large-scale semantic similarity pipelines using LLM embeddings and PyTorch, building natural language search with RAG, migrating legacy Java services to Python/Django, and containerizing with Docker/Kubernetes. Also delivered AI-driven automation and deep learning projects for classification and NLP-to-SQL, with measurable improvements in relevance, performance, and operational efficiency.

Parth Lahane

Web Developer, Back-End Developer, Front-End Developer, +7

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Machine Learning Engineer with 5+ years building production ML systems specializing in generative AI, deep learning, and computer vision. Experienced architecting end-to-end ML pipelines, deploying GPU-optimized models, and implementing scalable solutions across recommendation systems, NLP, and multi-modal AI. Professional experience includes developing large-scale semantic similarity pipelines using LLM embeddings and PyTorch, building natural language search with RAG, migrating legacy Java services to Python/Django, and containerizing with Docker/Kubernetes. Also delivered AI-driven automation and deep learning projects for classification and NLP-to-SQL, with measurable improvements in relevance, performance, and operational efficiency.…Machine Learning Engineer with 5+ years building production ML systems specializing in generative AI, deep learning, and computer vision. Experienced architecting end-to-end ML pipelines, deploying GPU-optimized models, and implementing scalable solutions across recommendation systems, NLP, and multi-modal AI. Professional experience includes developing large-scale semantic similarity pipelines using LLM embeddings and PyTorch, building natural language search with RAG, migrating legacy Java services to Python/Django, and containerizing with Docker/Kubernetes. Also delivered AI-driven automation and deep learning projects for classification and NLP-to-SQL, with measurable improvements in relevance, performance, and operational efficiency.

Available to hire

Machine Learning Engineer with 5+ years building production ML systems specializing in generative AI, deep learning, and computer vision. Experienced architecting end-to-end ML pipelines, deploying GPU-optimized models, and implementing scalable solutions across recommendation systems, NLP, and multi-modal AI.

Professional experience includes developing large-scale semantic similarity pipelines using LLM embeddings and PyTorch, building natural language search with RAG, migrating legacy Java services to Python/Django, and containerizing with Docker/Kubernetes. Also delivered AI-driven automation and deep learning projects for classification and NLP-to-SQL, with measurable improvements in relevance, performance, and operational efficiency.

Skills

Experience Level

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Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Software Engineer (AI/ML) at Discovery to Impact - University of Texas at Austin

September 1, 2023 - Present

Lead AI/ML software engineer building large-scale ML pipelines; vectorizing patents and tech records using LLM embeddings to match hundreds of thousands of records against funding opportunities; leveraged dense representations and similarity search to improve relevance, precision, and throughput while reducing manual review time. Built natural language search engine using Python, RAG architecture, and LLM embeddings with GitHub Copilot-assisted development, processing 1M+ repositories. Partnered with product and engineering teams to migrate a legacy Java Spring Boot application to modern Python Django, rewriting business logic, and containerizing with Docker and Kubernetes—reducing deployment time by ~40% and improving system performance by ~30%. Created Microsoft Power Automate workflows to automate repetitive business processes, generating automated reports and newsletters that save 120+ staff hours monthly and reduced labor costs by 25%.

Software Engineer (AI/ML) at Discovery to Impact, University of Texas at Austin

September 1, 2023 - Present

Led development of production AI/ML solutions focused on generative AI, deep learning, and computer vision. Architected end-to-end ML pipelines, deployed GPU-optimized models, and implemented scalable solutions across NLP and multimodal AI. Collaborated with cross-functional teams to translate research into production-ready systems.

Backend Developer at Texkaar Innovations

January 20, 2021 - August 31, 2021

Developed and deployed 20+ RESTful APIs and microservices using Java, Spring Boot, and Maven, improving system scalability by 30% and reducing operational costs by 25% through performance optimization. Implemented an AI-driven recommendation engine using Python and scikit-learn, applying LLM embeddings to improve content personalization by 20% across 500K+ daily user interactions.

Backend Developer at Texaar Innovations

January 1, 2021 - August 1, 2021

Developed and deployed 20+ RESTful APIs and microservices using Java, Spring Boot, and Maven, improving system scalability by 30% and reducing operational costs by 25% through performance optimization. Implemented AI-driven recommendation engine using Python and scikit-learn, applying LL M embeddings to improve content personalization by 20% across 500K+ daily interactions.

Backend Developer at TEKSAAR Innovations

January 1, 2021 - August 1, 2021

Migrated legacy Java Spring Boot applications to modern Python Django, containerized and deployed with Docker and Kubernetes, reducing deployment time by 40% and improving system performance by 30%. Built 20+ RESTful APIs and microservices, and implemented AI-driven recommendations using Python and scikit-learn to improve content personalization.

Web Software Engineer at Webdunia Software Engineer

June 1, 2018 - August 31, 2019

Designed and implemented a C# .NET application for content management, building secure APIs and backend services that reduced query turnaround time by 70% and decreased analyst workload by 80%. Deployed .NET services on Azure App Service and Azure SQL, implementing security controls and compliance checks to reduce infrastructure costs by 10%. Built an NLP-to-SQL translation system using Python and TensorFlow to automate query generation, achieving an F1 score of 0.94 on production datasets. Developed object detection models for food classification securing additional AI-driven contracts; demonstrated ability to translate AI research into business-impacting products.

Software Engineer at Web Dunia

June 1, 2018 - August 1, 2019

Designed and implemented a C# .NET content management application with secure APIs and backend services, reducing query turnaround by 70% and analyst workload by 80%. Gained Azure cloud exposure and implemented security controls and compliance checks.