Sep 2022 – Oct 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

• Founding engineer through multiple product pivots: TikTok-for-LinkedIn → Belle (fashion commerce platform) → VideoZen (AI video editing) → Sales copilot
• Built video processing pipelines, platform backend and recommendation systems across different product iterations
• Worked on AI video editing tool VideoZen, including text-to-video, video summarization, and video-to-shorts features
• Developed Sales Copilot using agentic AI, integrating with Salesforce, HubSpot, Gong, Slack, and Microsoft Teams
• Led product development and scaled infrastructure using FastAPI and React/Next.js
• Skills: Python, TypeScript, React, Next.js, FastAPI, AI/ML, LLMs, RAG, Video Processing, Airflow, Docker, AWS/GCP, SQL, Redis, System Architecture, MLOps

Sep 2020 – Aug 2022 · 1 yr 11 mos

• Worked on connectivity technologies for MTK and Qcom-based Android models for OnePlus, Oppo, and RealMe devices
• Built Oppo's internal translation tool and awarded Hall of Honor recognition
• Skills: Java, Android Development, Networking, Power Optimization, Computer Vision, NLP, Translation AI, Embedded Systems

Aug 2019 – Sep 2020 · 1 yr 1 mo · Mumbai Metropolitan Region

Jul 2019 – Aug 2019 · 1 mo · Tokyo, Japan

• Part of a team aimed at providing analytical solutions to increase performance of retailer and manufacturer
• Built end to end solution for the Price Optimization problem, use of mathematical analysis to determine how customers respond to different prices to maximize profit
• Used machine learning algorithms like time series forecasting, polynomial and linear regression to achieve an accuracy of 97% and determine how consumers respond to different prices
• Implemented concepts of economics like price elasticity of demand, marginal revenue, marginal cost etc. to set the price for maximum revenue generation
• Built dashboards using Power BI and Tableau for data visualization and performance analysis
• Served the trained data model for deployment in production using MLflow and Flask

May 2019 – Jun 2019 · 1 mo · Gurgaon, India

• Part of a team aimed at providing insights and recommendations for the growth of business
• Conducted employee (delivery executives) attrition analysis using machine learning methods
• Implemented various machine learning algorithms for the classification problem like Neural
• Networks, XGBoost, Random Forest etc. to achieve an accuracy of 90%
• Determined the major factors causing attrition, to be used to prevent attrition of employees

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

• Part of a team responsible for developing solutions for Smart Manufacturing in Indian Market
• Responsible for identifying problems, potential solutions and vendor partners for Manufacturing Execution System and Conveyor Management Solutions
• Researched on the use of MES and conveyor systems in various industries
• Coordinated with team to plan for Go-To-Market in steel and cement industries, prepared a
• pitch-deck highlighting approach and business impact

Apr 2017 – Mar 2018 · 11 mos

Sep 2016 – Mar 2017 · 6 mos

Apr 2017 – Jan 2018 · 9 mos

• Working under the Marketing Heads of Mood Indigo towards achieving the annual fest's budget.
• Pursuing the budget required for Mood Indigo 2017 through corporate sponsorship.
• This includes marketing activities and integration(s) tailor-made for a brand during the event so as to mutually add value to both Mood Indigo and our partner.
• Ideating upon and executing brand integrations during the festival across varied locations in the entire institute. Working with such brands belonging to a multitude of marketing sectors ranging from Accessories to Public Sector Undertakings.
• Conceptualizing and Executing brand integration strategies having Indian youth as the target group for global and national corporations.