Data Scientist Machine Learning Engineer UST

Bangalore Urban, Karnataka, India

Chennai, Tamil Nadu, India

Chennai, Tamil Nadu, India

Chennai, Tamil Nadu, India








Master of Science - MS, Data Science and Artificial Intelligence
Deakin University

PG- AI ML, Artificial Intelligence
Great Lakes Institute of Management
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At the helm of QuantumEco, we're pioneering sustainable energy solutions powered by quantum AI, aligning my passion for environmental innovation with cutting-edge technology. Concurrently, as an Applied AI Engineer at Swades AI, my expertise in Agile Development AI application and Azure DevOps propels the development of intelligent systems that enhance efficiency and drive progress. My academic journey at Deakin University, specializing in Data Science and AI, complements my professional endeavors. With a commitment to integrating advanced AI methodologies from my postgraduate studies, our team is positioned to lead transformative changes in both the AI and sustainable energy landscapes.And your psychological decisions matter save the planet save the πππππππ save society against injustice!
Chennai
claude
hugging face
langchain
ChatGPT
Milvus
Associate 3 Data science engineer at UST, Jul 2025 - Present Β· 1 yr 3 mos, Bangalore Urban, Karnataka, India, Data scientist and ml expert for semiconductor data Intel client
CEO/Founder at QuantumEco, Aug 2024 - Mar 2025 Β· 8 mos, Chennai, Tamil Nadu, India, we are creating sustainable energy solutions using quantum ai
System Engineer at Tata Consultancy Services, Apr 2023 - Aug 2024 Β· 1 yr 5 mos, Chennai, Tamil Nadu, India
Data Scientist at Tata Consultancy Services, Mar 2023 - Feb 2024 Β· 1 yr, Chennai, Tamil Nadu, India
Technology Engineer at Virtusa, - Sentiment analysis + chatbot using wav2vec + GPT models. - Built Random Forest / XGBoost classification for customer behavior. - Java Spring Boot + Angular dev for RBAC provisioning systems.
Machine Learning Engineer at UST, - Built MLflow-based ML engineering pipeline for tracking, versioning and deployment. - Developed full Florence VLM data+inference pipeline for defect detection. - Benchmarked LLaVA, Qwen-VL, Ollama models for multimodal defect classification. - Integrated VLM embeddings into supervised & zero-shot defect detection workflows. - Researched VLM attention, embedding quality, drift behaviour. - Built azure pipelines automated for firmware validation and scripts.
Master of Science - MS, Data Science and Artificial Intelligence, Deakin University
PG- AI ML, Artificial Intelligence, Great Lakes Institute of Management
github: https://github.com/Prakash-95s