Available to hire
Hi, I’m VINNY SRI MOUNVIKA JAGAJ JE THA, an AI/ML engineer with 4+ years of experience building and deploying scalable machine learning and generative AI solutions across enterprise and cloud environments.
I have strong expertise in NLP, LLMs, and RAG pipelines using LangChain, Hugging Face Transformers, and vector databases to enable semantic search and intelligent automation. I enjoy delivering secure, production-grade AI systems with CI/CD, monitoring, and agile collaboration, and I look forward to solving complex business problems with scalable AI.
Work Experience
AI/ML Engineer at DXC Technology
July 1, 2024 - PresentLed the Enterprise Document Intelligence Platform to automate document processing workflows using NLP, OCR integration, and transformer-based models for structured data extraction. Engineered scalable RAG pipelines using LangChain and vector databases (FAISS, Pinecone) to enable semantic search and contextual question answering across enterprise knowledge bases. Developed and fine-tuned LLMs using Hugging Face Transformers (BERT, LLaMA) to improve information retrieval accuracy by 20% for internal business applications. Built and deployed microservices using FastAPI and Docker, enabling real-time model inference and seamless integration with cloud-native architectures on AWS Bedrock and SageMaker. Orchestrated end-to-end ML pipelines using Kubeflow and MLflow, improving model lifecycle management efficiency by 30% through automated training, validation, and monitoring. Collaborated with cross-functional teams to implement secure, production-grade AI solutions aligned with enterprise go
AI/ML Engineer at Trigent
January 1, 2020 - July 1, 2022Developed the E-commerce Product Recommendation System to deliver personalized product suggestions using collaborative filtering and content-based techniques. Built and optimized recommendation models using Scikit-learn and matrix factorization methods, improving recommendation relevance by 15%. Designed end-to-end data preprocessing workflows using Pandas and NumPy, including data cleaning, transformation, and feature engineering for user-item interactions. Implemented RESTful APIs using FastAPI to serve recommendation results in real time across web and mobile platforms. Created automated ETL pipelines to ingest and process large-scale transactional data using PySpark, reducing data processing time by 30%. Integrated model monitoring and experiment tracking using MLflow to maintain version control and ensure consistent model performance. Leveraged Docker for containerization and deployed ML workloads on AWS SageMaker, improving deployment efficiency by 25%. Collaborated with cross-fu
AI/ML Engineer at DXC Technology
July 1, 2014 - PresentLed the Enterprise Document Intelligence Platform to automate document processing workflows using NLP, OCR integration, and transformer-based models for structured data extraction. Engineered scalable RAG pipelines using LangChain and vector databases (FAISS, Pinecone) to enable semantic search and contextual question answering across enterprise knowledge bases. Developed and fine-tuned LLMs using Hugging Face Transformers (BERT, LLaMA) to improve information retrieval accuracy by 20% for internal business applications. Built and deployed microservices using FastAPI and Docker, enabling real-time model inference and seamless integration with cloud-native architectures on AWS Bedrock and SageMaker. Orchestrated end-to-end ML pipelines using Kubeflow and MLflow, improving model lifecycle management efficiency by 30% through automated training, validation, and monitoring. Collaborated with cross-functional teams to implement secure, production-grade AI solutions aligned with enterprise go
Education
Master of Science in Information Technology and Management at University of Texas at Dallas
August 1, 2022 - May 1, 2024Master of Science in Information Technology and Management at University of Texas at Dallas
August 1, 2022 - May 1, 2024Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Professional Services, Media & Entertainment, Education
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