Kanishak Gupta

Supporting the Founder and executive leadership with business operations, strategic initiatives, and cross-functional project coordination.
Managing meetings, professional correspondence, and follow-ups across global stakeholders.
Coordinating projects across design, marketing, operations, and business teams while tracking deliverables through Notion and collaborative workspace tools.
Conducting market, competitor, and operational research to support executive decision-making and business growth initiatives.
Preparing executive reports, presentations, meeting summaries, SOPs, and operational documentation.

Gathered business requirements from founders, product, and operations stakeholders, producing BRDs, SOPs, and user stories to support feature development and operational initiatives.
Coordinated cross-functional execution across AI/ML, Business, and Operations teams, tracking project deliverables and helping keep initiatives on track through structured stakeholder follow-ups using JIRA.
Analyzed end-to-end business workflows and recommended process improvements that reduced manual coordination efforts across internal teams.
Built and managed AI-assisted outbound workflows generating 200+ qualified leads daily to support customer acquisition.
Developed KPI dashboards in Tableau and operational reports in Excel for leadership, enabling data-driven monitoring of campaign performance and lead funnels.
Conducted market and competitor analysis to identify GTM opportunities and prepared analytical reports to support go-to-market decisions.
Owned the end-to-end recruitment lifecycle for a 25+ member cross-functional internship program, including JD creation, candidate sourcing, resume screening, interviewing, onboarding, task allocation, and execution management for the Speak Mind AI Wellness Coach project, which was recognized at the Google Gen AI Exchange Hackathon.

Gathered and documented business requirements through stakeholder discussions for enterprise application enhancements and workflow automation initiatives.
Created process flow diagrams and workflow documentation using Microsoft Visio to improve communication between business and technical units.
Supported UAT and SIT by preparing test scenarios, validating requirements, and tracking defects.
Analyzed operational performance data in Excel and prepared weekly reports on process efficiency and project status, enabling senior analysts to identify operational improvement opportunities.

Designed and developed the foundational Python-based video preprocessing pipeline using OpenCV and MoviePy to automate batch processing of CCTV footage, establishing the standardized data preparation workflow adopted across the LPG cylinder detection project.
Contributed to the development of an AI-powered computer vision solution for automated LPG cylinder detection and tracking within Atsuya’s industrial asset traceability platform.
Improved YOLO-based LPG cylinder detection accuracy from 94% to 98% through large-scale annotation, dataset refinement, and iterative model validation across 300+ CCTV videos.
Validated AI inference results on production CCTV footage by comparing predicted cylinder counts with actual counts and identifying edge cases for model improvement.
Assisted in edge deployment and production testing on NVIDIA Jetson Nano while collaborating with senior engineers to troubleshoot hardware and inference issues.
Supported inference workflow automation by testing SQLite-based execution logic and collaborating with the engineering team during Agile sprint cycles.