Hi, I'm Ujwal
AIML EngineerData Scientist
Building from scratch is what I do for fun.
Career Path
A.P Moller Maersk
Sept 2025 - PresentAIML Intern•Bangalore•Key Work
- •Architected and built an end-to-end distributed entity resolution system using semantic retrieval, ML-based matching, and a fine-tuned cross-encoder trained on augmented data and processed across distributed GPUs in Databricks, improving resolution accuracy from 30% to 75%.
- •Optimized Qdrant vector storage to reduce memory requirements by 95% while retaining 97% precision, and built controlled PySpark LLM pipelines for large-scale quality validation and batch inference.
- •Built Azure Data Factory pipelines to load 50M+ row data tables from Data Lake into PostgreSQL, implementing indexing strategies and complex data-type handling while reducing data-loading time by 50%.
- •Developed a graph traversal algorithm in PySpark GraphFrames for efficient connected components and contributed to an agentic AI system orchestrating database access through tool-based agent workflows.
- •Developed geographic address standardization and treatment pipelines across 300K+ addresses to improve consistency and usability of location data.
7thGear AI
May 2025 - Aug 2025AIML Intern•Bangalore•Key Work
- •Designed multimodal video processing pipelines combining computer vision, Vision Transformers, NLP, and LLMs to extract and structure business relevant information from multimedia data.
- •Created data augmentation pipelines and trained custom CNN models for image classification, improving model accuracy from 60% to 95%.
- •Quantized and Fine-tuned the Llama 3.2 3B model using parameter-efficient fine-tuning techniques for domain-specific inference.
LimitlessMinds AI
Jan 2025 - Mar 2025AI Developer•Delaware•Key Work
- •Designed data ingestion pipelines to transform unstructured documents into a GraphRAG knowledge base containing structured product information, and developed tools for RAG agents to query the graph and answer customer questions.
- •Contributed to a peer-to-peer, session based Voice AI platform using LiveKit and GPT-Realtime, enabling fast, low latency voice AI for answering customer queries.