Joy Khera

Co-Founder

Monroe, New Jersey, United States1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven track record in building impactful AI models.
Led product strategy for innovative tech startups.
Strong foundation in cybersecurity and data analysis.

Stackforce AI infers this person is a Fintech-focused Machine Learning Engineer with strong product strategy and development skills.

Contact

Skills

Core Skills

Product StrategyAiFull-stack DevelopmentCybersecurityAlgorithm DevelopmentData AnalysisSoftware Development

Other Skills

AlgorithmsMachine LearningJenkinsREST APIsJavaWebLogicTradingAngularTypeScriptDocker ProductsWebpackNode.jsXcodePython (Programming Language)Teamwork

About

I’m a machine learning engineer with a strong focus on analyzing large datasets and building AI models that drive real impact. I have a proven track record of gathering complex technical requirements and delivering robust, scalable ML solutions on time. Through multiple competitive internships, I’ve worked with top-tier teams, developed advanced algorithms, and refined AI capabilities through rigorous testing and development. Beyond my professional experience, I love working on personal ML projects, continuously exploring new ideas, and collaborating with others to push innovation forward. I’m always looking for new challenges and opportunities to grow, expand my skill set, and contribute meaningfully. My combination of experience, curiosity, and strong work ethic helps me stand out in this fast-moving industry. If you’d like to connect or discuss anything ML-related, feel free to reach out! 🚀 Email: joykhera@gmail.com Portfolio: https://joykhera.github.io/portfolio-new/

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Fund flow os

2 roles

Co-Founder

Sep 2025 – Present · 8 mos

Cofounder & Head of Product at Fund Flow OS, an AI-powered CRM and capital-raising platform for real estate operators. I own product strategy and roadmap, turn customer discovery into PRDs, and lead design/engineering to ship fast from MVP to pilots. Focused on automation, data-driven decisions, and measurable lift in pipeline velocity.

Product StrategyAI

Founder

Jul 2024 – Present · 1 yr 10 mos

Building SideQuest, a social platform that blends real-world exploration with digital connection. Leading product strategy, design, and full-stack development — from ideation to launch. Managing a lean, cross-functional team and driving growth through iterative user feedback and data-driven decisions.

Product StrategyFull-Stack Development

Deloitte

Cyber Security Intern

Jun 2024 – Jul 2024 · 1 mo · New York, New York, United States · Hybrid

Selected from a competitive pool, I was chosen as cybersecurity intern for Deloitte where I defined procedures for an automated asset discovery solution alignment with ITAM reporting requirements and governance standards. I built and implemented a ServiceNow-based asset life cycle management system while communicating with stakeholders to gather and analyze data.
Key Accomplishments:
Cut manual tracking by 30% while strengthening data accuracy by automating the asset discovery solution.
Enhanced utilization and compliance with regulatory and eGRC controls integration to manage and remediate high-risk functions, deploying the Service Now assets.

Cybersecurity

Fidelity investments

Full Stack Engineer Intern

Jun 2023 – Aug 2023 · 2 mos · Merrimack, New Hampshire, United States · Hybrid

I was chosen to join a core team of 14 to develop a state-of-the-art investor-facing technology that added goal setting and advisor-meeting functionality for mobile and web-based applications, seamlessly integrating solutions such as Angular, TypeScript, Git, Redux, and REST API.
Key Accomplishments:
Played a significant role in transforming the financial planning experience for 1M end users.
Elevated product aesthetics and contributed to enhancing product performance.

JenkinsREST APIsFull-Stack Development

Stevens institute of technology

Algorithm Trading Analyst

Sep 2022 – Dec 2023 · 1 yr 3 mos · Hoboken, New Jersey, United States · On-site

In 2023, I took on a role as an algorithm trading analyst where I led a team of 6 technical colleagues responsible for rigorous back-testing of intraday data spanning a 20-year period using QuantConnect. I conducted quantitative and qualitative analyses of large datasets.
Key Accomplishments:
Benchmark and identify profitable trading strategies that surpassed market trends by developing and applying a Proximal Policy Optimization (PPO)
Set up and orchestrated an OpenAI Gym environment for optimal model training with 3 years of tick-level data equating to 100 million data points

AlgorithmsMachine LearningAlgorithm DevelopmentData Analysis

Equilend

Software Development Intern

Jun 2022 – Aug 2022 · 2 mos · New York City Metropolitan Area

As an intern for EquiLend, I had the opportunity to build an innovative simulation tool for EquiLend's institutional clients. I performed extensive benchmark testing and validated exceptional scalability. I also implemented a log-analyzing tool, that efficiently monitored 100M daily logs.
Key Accomplishments:
Uncovered issues impacting speed and memory usage utilizing Java, SQL, Spring Boot, Git, and Oracle DB.
Mitigated critical daily errors for client base, boosting user satisfaction.

JavaWebLogicSoftware Development