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Schedule Interview NowMy name is Prabhakar R. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Machine Learning, Python, Cloud Computing, R, Statistical Analysis, etc.. I hold a degree in Doctor of Philosophy (PhD), Master's degree, Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Graph-powered automated navigation for Forklifts, LLM workflow builder platform + AI avatar development, Wind power forecasting, Transforming Pharma-Supplier Partnerships, Revolutionising Emotional Intelligence, etc.. I am based in Rochester, United Kingdom. I've successfully completed 13 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
Main technologies
1 year
1 Year
1 Year
1 Year
Potentially possible
Self-employed
Integrated and productionised a graph-based route optimisation system for warehouse forklifts, enhancing efficiency and reducing operational costs.
1. Adapted and productionised a custom no-code LLM workflow builder platform, enabling users to easily deploy and manage LLM-driven workflows without technical expertise. 2. Developed an AI-powered av
Developed a deep time-series forecast model (≈ 2 RMSE) to predict wind power generation, improving energy resource management and optimising grid integration.
1. Developed an LLM-powered, cloud-based (AWS) automated system for large-scale and responsible web data collection. 2. Developed an LLM+RAG-powered system pipeline, integrated with an open-source vec
Developed a strategic AI roadmap with technical recommendations and architecture for a custom fine-tuned LLM+RAG-powered conversational agent to enhance user support and engagement.
Doctor of Philosophy (PhD) in Robot Learning (Robotics + Machine Learning)
2018-01-01-2023-01-01
Master's degree in
2015-01-01-2016-01-01
Bachelor of Engineering (BEng) in
2009-01-01-2013-01-01