Jorjy Khandelwal

Product Manager

Delhi, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and Data Science with proven support experience.
Successfully managed high-volume user support with excellent CSAT scores.
Developed deep learning models for financial market predictions.

Stackforce AI infers this person is a Data Science and AI specialist with strong support engineering capabilities.

Contact

jorjykhandelwal@gmail.com LinkedIn

Skills

Core Skills

Technical SupportUser ExperienceAi SupportQa AutomationQuantitative ResearchDeep LearningData Collection AutomationTime Series Forecasting

Other Skills

Analytical SkillsArtificial Intelligence (AI)C++CollaborationComputer ScienceData AnalysisData AnalyticsData ScienceDatabase Management System (DBMS)DockerEngineering SupportFinancial MarketsHTML5KubernetesMATLAB

About

i’ve spent the last few years deep in AI, Support, and Data. learned what breaks, what scales, and what actually helps people now just trying to build things that do more of that.

Experience

Lovable

Product Experience Specialist (Contractor)

Jun 2025 – Oct 2025 · 4 mos · India · Remote

Supported 2.3M+ monthly active users (MAU) and resolved ~300+ weekly tickets with a 78% CSAT, ensuring fast, high-quality user support.
Collaborated closely with the PM, design, and engineering teams to improve user experience across key features such as Visual Edit and AI Gateway.
Helped identify friction points, simplify workflows, and strengthen feedback loops that directly informed product usability and feature refinement.

Engineering SupportTechnical SupportUser ExperienceCollaboration

Windsurf

AI support engineer

Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

Supported both B2C (100K+ MAU) and B2B (50+ enterprise) customers, managing ~400 tickets/week with an 80% CSAT.
Collaborated with the PM and engineering teams to streamline deployment workflows and improve reliability across Docker- and Kubernetes-based microservices.
Co-designed and rolled out a tagging-based triage workflow, reducing turnaround time for critical tickets by 30%.
Authored the Windsurf QA runbook and standard operating procedures for containerized deployments, cutting post-release issues by 40%.
Mentored a junior engineer through an onboarding playbook, enabling 90% of Tier 1 issues to be resolved independently within 30 days.

AI SupportDockerKubernetesQA AutomationStandard Operating Procedures

Futures first

Quant Researcher

Jul 2024 – Sep 2024 · 2 mos · Hyderabad, Telangana, India · On-site

Analyzed energy markets (Brent, WTI, gasoline, gasoil, heating oil) to identify key price drivers and correlations.
Built a deep-learning model forecasting Brent next-day open and close with a ~2-tick MAE.
Created a dynamic stop-loss module to optimize trader strategy consistency.
Partnered with analysts to turn quantitative insights into actionable trading ideas.

Quantitative ResearchDeep LearningData Analysis

Definequity investment managers

Quantitative Researcher Analyst Intern

Jun 2023 – Jul 2023 · 1 mo · Gurugram

Responsible for automation of various data collection tasks. The data was then used to build Deep Learning Models to do a timeseries Forecasting of variables, to take a more data centric approach towards Asset selection.

Data Collection AutomationDeep LearningTime Series Forecasting