• Designing, building, and deploying AI solutions as a founding member of the forward deployed team for Accrete's upcoming knowledge engine platform

• Collaborating with clients and internal teams across engineering, product, and marketing to align on strategy and goals

• Led research engineering initiatives in human-computer interaction (HCI), producing 6 first-author publications, a pending patent, and an upcoming Unreal Engine plugin for game developers.

• Implemented an AI agent-powered data pipeline using Python and LlamaIndex, extracting insights from large-scale smart city datasets for influencing urban policy.

• Engineered a metadata storage solution with MongoDB and Qdrant, optimizing vector-based similarity queries for 3,000+ datasets using text embeddings.

• Improved UX in 3D video games and accessibility tools using Unity and C#, resulting in >90% user satisfaction

• Deployed a Firebase-like backend with Docker on Ubuntu servers, ingesting 1M+ logs from remote user tests

• Analyzed and visualized data to generate insights for 50+ user tests using Jupyter, Pandas, and Matplotlib.

• Mentored 25 students in research & technical skills and ensured successful completion of 6 major projects.

Worked with the Computer-Enabled Abilities Laboratory (CEAL) at Columbia University.

• Developed a Python-based system using LLMs to improve participant engagement within virtual meetings.

• Integrated system into Microsoft Teams, processing 6+ data streams in real time with <5-second latency.

• Designed a dashboard using React to manage system parameters, tracking over 100 metrics in real time.

• Brainstormed ideas for system expansion, user studies, and potential future publications with 20+ researchers.

• Authored 30+ pages of detailed technical documentation and delivered 2 key presentations with live demos.

Worked with the Ability team and HCAIX (Human-Centered AI & Experiences) Group at Microsoft Research in Redmond.

• Created assistive technologies to improve navigation in large transportation hubs for people with disabilities.

• Integrated wireless sensor networks with computer vision techniques to enable precise positioning across large indoor areas, achieving accuracy to within 5 inches.

• Built a client-server system with Django and PostgreSQL backend to deliver real-time, turn-by-turn navigation.

• Led team to build an Android app with voice UI, allowing users to start navigation in under 30 seconds.

• Secured follow-on grant and collaborated with 6 institutions, resulting in 5 co-authored research publications.

Worked with the City College Visual Computing Laboratory (now known as the CUNY Computational Vision and Convergence Laboratory).

• Oversaw initial development of a learning management system to simplify school and classroom administration.

• Prototyped apps (web and Android mobile) and managed server (building, hardening, and maintenance).

• Selected as semifinalists into the 2016 Zahn Innovation Center's Tech Innovation Seed Prize and awarded seed funding to develop our idea while participating in a 5-month startup “bootcamp.”

• Managed work associated with venture competitions, including preparing pitches, meeting with mentors, and performing demos.

• Played vital role in major decisions, including allocating future equity among team members and suggesting shifts in focus.