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Hi!
I'm Nishith
A Data Science graduate from Northeastern University and AWS Certified Cloud Practitioner, I specialize in designing and deploying end-to-end Generative AI and RAG architectures that drive real-world impact.
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About Me
I’m a Data Scientist and Machine Learning Engineer based in Boston, driven by the challenge of turning messy, unstructured data into systems that work in the real world.
My journey into AI has always been shaped by curiosity: how far can we push models, and what does it take to make them reliable, fast, and production-ready? Over the past few years, I’ve moved far beyond basic analysis to build scalable Generative AI systems and serverless RAG pipelines.
I thrive at the intersection of AI research and real-world engineering. Whether I'm architecting LLM agents capable of handling tens of thousands of queries per second or optimizing multimodal video workflows for edge devices, my focus is always on the practical problems that decide whether a model succeeds in production:
● Reducing inference latency
● Slashing compute costs
● Scaling infrastructure without breaking reliability
● Orchestrating complex pipelines with MLOps best practices
At my core, I love building tools that help people make sense of information. To me, AI is more than just models; it’s engineering, architecture, and thoughtful design and that’s the space where I feel most at home.
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Experience
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Skills
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Languages
Databases
Frameworks
Generative AI and LLM
Machine Learning and Deep Learning
MLOps
Cloud
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