Akshat Gupta Email & Phone Number

California, United States

San Francisco Bay Area

San Francisco Bay Area

- Spearheaded the development and market launch of ezPT Tech, an AI-powered charting software for physical therapy clinics, from concept through to successful deployment, achieving market penetration in Seattle and Washington DC areas to onboard the first 3 clients.- Led user experience enhancements that reduced the time physical therapists spent on.

• As part of the Site Reliability Engineering Team, built an AI-powered incident response platform for dell.com website.
• Saved $400k by spearheading a 6-member agile cross-functional AI-Ops team of engineering, design, and QA to design, develop, test and release an in-house platform for 450 analysts.
• Reduced incident resolution time by 29% QoQ by leading product discovery through user research, survey design, data analysis, and rapid prototyping.
• Prioritized product development and feature rollouts based on business objectives and customer needs.
• Increased product adoption by 120% MoM by analyzing user pain points and feedback, translated insights into comprehensive product requirements, built product roadmaps, and wrote Product Requirements Documents (PRDs).
• Collaborated cross-functionally to document functional and business requirements, defined product vision and strategy, and owned product lifecycle end-to-end to enable continuous delivery.

• SWE and Data Scientist for the the Global E-Commerce Team, ensuring high availability and performance of the Global E-commerce website.
• Saved $1M+ by flagging 7 critical defects by creating NLP tool to flag incidents & application logs for accurate root cause analysis.
• Reduced incident response time by 16% by building error detection and incident classification ML models. Created hierarchical ML models for multi-modal incident data including application monitoring logs, Observability.
• Boosted operational efficiency by 28% by automating 14 manual workflows and integration into existing infrastructure.
• Preprocessed, cleaned, and analyzed large textual incident data from multiple sources for risk mitigation; conducted data analysis to identify patterns and insights to inform product strategy and decision-making.
• Enhanced order processing capability by 7% by centralizing data ingestion architecture and ETL (Extract, Transform and Load) pipelines, achieving 99.99% reliability for Black Friday sales in 2022 using Go channels.

• Developed SAML 2.0 authentication (Single Sign On - SSO) integrations for 16 different SaaS providers enabling 80k+ users.
• Evaluated, delivered multi-factor authentication and identity assurance for both on-premise and cloud solutions. Created and published integrations supporting Single Sign-On (SSO), RADIUS, and Relying Party protocols.
• Collaborated with ’Partner Engineering’ team, assessed inter-operability of solutions with partner products, sanctioned software as ”RSA Ready”. Generated solution documentation posted publicly, optimized existing.

• Part of the Global E-Commerce Team, enhanced user experience and mitigated roadblocks for global customers
• Increased customer satisfaction scores by 22% by owning and developing an analytics dashboard to monitor KPI’s for 63 products across the corporate ’Buyer’ division.
• Implemented solution achieved 70% compliance with global accessibility norms (WCAG2.1) resulting in elimination of monetary penalties in European countries.
• Optimized code review efficiency by 38% by automating quality checks in CI/CD pipelines, saving 26 engineering hours/month

New Delhi Area, India

• Developed emotion recognition models from EEG signals (real-time brain waves) to develop brain-computer interface modules for the Indian Army using Python, R, SQL and machine learning.
• Designed data processing pipelines to downsample and filter noisy data using Discrete Wavelet Transform and PCA. Used SVM, KNN, and ANN to classify 4 emotional states achieving 83.4% average accuracy improving existing.
• Handled large numerical datasets, gained exposure to different data processing workflows and pre- processing techniques and worked extensively on data analytics using Numpy and Pandas.
• GITHUB: https://github.com/hi-akshat/Emotion-Recogniton-from-EEG-Signals

New Delhi Area, India

• Organizer of Hackdata, Shiv Nadar University’s annual Hackathon, which had participation from over 31 universities and a total of 60 teams and over 200+ students in the 2019 edition.
• Responsible for the planning, handling finances, overall marketing of the event, curating teams, mentors and judges and ensuring smooth functioning of the event, co-ordination between the university administration and.

Shiv Nadar University

• Advising the Core Committee of Feeding India - SNU Chapter on sponsorship for various events and drives conducted by them. Feeding India is a national non-profit NGO.
• My role included helping them curate and closing leads for generating funds for the same by targeting a diverse portfolio of companies and engaging with their CSR departments.

Master Of Information Management And Systems, Product Management And Data Science Focus, 4.0/4.0

Data Science / ML Courses: • Principles and Techniques of Data Science • Data Engineering • Natural Language Processing • Quantitative.

4.0/4.0

MBA courses taken at Berkeley Haas: • Customer Insights • Marketing Analytics • Strategic Brand Management • Startup Sales

Bachelor Of Technology, Computer Science & Engineering, 4.0/4.0

• Awarded 90% scholarship for four years of the undergraduate program • Taught 150 high school students to increase awareness about AI.

Bachelor Of Business & Management Studies (Minor), 4.0/4.0

Relevant Coursework: • Analysis and Business Modelling Using Excel • Operations Strategy • Business Analytics • Organizational Change •.

High School, 93.5%

• Top 0.5% among 14.4 Million students who appeared for the examination series across India (2017)

Education record