Avyakta Sharma

Developing “Agent Coffee,” an AI agent for a nonprofit client that uses LangChain and vector databases to deliver data-driven insights to coffee farmers. Collaborating on rollout strategies and measurable KPIs to enhance decision-making efficiency across 10+ countries. Completed an 8-week training program in consulting fundamentals and client engagement.

Software Engineering Intern: Built and deployed an internal AI knowledge assistant using FastAPI, LangChain, and OpenAI’s API to help 500+ employees search over 1,000+ technical documents instantly. Integrated the system with Microsoft Teams through a custom bot and optimized performance using AWS, FAISS, and Nginx for secure, scalable access. Electrical Engineering Intern: Designed and implemented over 75 HMI screens for a 573 MW combined-cycle power plant. Configured 200+ PLC tags and alarms for real-time process monitoring, improving reliability and operator efficiency.

Completed a remote internship centered around forming a charter for the newly established non-profit organization, "Water Engineers and Technicians Without Borders" (WET-WB). Engaged in WET-WB, a project dedicated to harnessing the collective expertise of the IDA's global membership to address complex water challenges while working directly under the supervision of the IDA Secretary General/Executive Director. Created a global advisory board, which featured the inclusion of The UPenn Water Center, fostering collaboration, feedback exchange, and the refinement of the charter document.

Employed as a part-time desk position since, working 10 hours per week while actively involved in coaching youth and adult tennis clinics.

Completed a five-week internship researching and refining a process to convert direct lithium extraction eluate into high-purity lithium carbonate crystals. Engaged as a vital member of a 24/7 lab team responsible for operating a pilot plant to process actual water samples for demonstration purposes. Collaborated closely with lab personnel in conducting experiments and provided valuable support to the engineering manager in designing new experimental protocols.

Completed an intensive three-week educational program focused on Artificial Intelligence (AI) and learning basic coding using Python.

Completed a two-week educational program focusing on the principles of sustainability, clean energy initiatives, climate policy, and the intricacies of climate change.