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Play - Forced Move
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I'm a software engineer who loves building apps that make life a little more fun, help you learn something new, or just make things easier as you go about your day. Maybe even make you think.
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Examples of areas/domains where I have been able to contribute in the past as a machine learning engineer are :
- Recommendation systems pertaining to luxury and fast fashion products, food and entertainment.
- Sleep science detecting and predicting bodily conditions based on biosignals recorded while a person sleeps.
- Price modelling tasks such as adjusting pricing/developing pricing models for marketplace based businesses Eg: Uber (service oriented marketplace), Amazon (Ecommerce oriented marketplace), Rover (Specialty marketplace).
- Natural language processing tasks such as : entity linking, relation extraction, semantic evaluation pertaining to fairy tales
- Building intelligent, adaptive systems
- Retrieval Augmented Generation : ingestion optimization using knowledge graphs and metadata, retrieval and generation optimization techniques including small to big retrieval and others highlighted in the llamaindex framework, decision making around embeddings and appropriate distance metrics, extending RAGs to RAG agentic abilities.
- Text based Extraction using compound systems
- Robotics and Embedded Systems
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My work centers on building robust software systems with end-to-end ownership, embedding machine learning from research through production when it meaningfully advances the product. With a research background in classical machine learning, deep learning, natural language processing, computer vision, topology, and computational neuroscience, I now operate primarily as a full-stack software and AI engineer, delivering secure, scalable platforms with strong attention to usability and real-world effectiveness. More importantly, I believe that the field of software development is ever-evolving and take particular satisfaction in continuously learning, refining and expanding my craft.
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You can reach me at: titas.das+gh@gmail.com
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Fun fact: Once upon a time in grad school, cooking felt mundane enough that I built a robot to chop vegetables (no fancy cuts). Years later, I've come to find both cooking and cleaning oddly therapeutic. I've grown to appreciate everyday routines as interconnected systems that shape health and quality of life.
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I’ve grown increasingly interested in everyday environmental health, spending time understanding how dust and air pollution affect indoor spaces and how exposure can be reduced in practice. At the same time, I’ve been learning about the medicinal and biochemical properties of ingredients and bringing that knowledge into my cooking in a thoughtful, intentional way.
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The images below come from an ongoing exploration of how multimodal LLMs interpret and represent visual features, paired with a more personal motivation: carving out time to paint, an activity I find both grounding and enjoyable.