Lovesh S.

Senior Software Engineer

Delhi, India4 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Achieved 70% load time reduction in iNVOStocks app.
Boosted trade prediction accuracy by 80% using ML models.
Led frontend development for multiple high-impact applications.

Stackforce AI infers this person is a Fintech-focused Fullstack Developer with strong expertise in React and Python.

Contact

lovesh1803@gmail.com LinkedIn

Skills

Core Skills

React NativePythonReact.jsNext.jsFrontend Development

Other Skills

FirebaseDjangoScikit-learnGitRedux ToolkitFramer MotionSentryTypeScriptReduxREST APIsJiraWeb ApplicationsDocument Object Model (DOM)JavaScriptAI for trading

About

As a Senior Software Engineer at INVOS RESEARCH & TECHNOLOGY PRIVATE LIMITED, I contributed to the development and deployment of the iNVOStocks app using React Native. This app integrates real-time trading, AI-based strategy engines, and biometric-secured login, offering a seamless user experience. My work included optimizing data pipelines and machine learning models to improve trade prediction accuracy and load times, ensuring secure authentication and robust error monitoring. I hold a Bachelor of Technology in Computer Science from J.C. Bose University of Science and Technology, YMCA. Skilled in Javascript, ReactJs, React Native, Python, and AI integration, my focus lies in building intelligent, user-centered applications that deliver optimized performance. My career is driven by a commitment to leveraging technology to create scalable and innovative solutions.

Experience

4 yrs 9 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 3 mos

Current Experience

Invos research & technology private limited

Senior Software Engineer

Feb 2024 – Present · 2 yrs 3 mos · Delhi, India · On-site

Built and deployed the flagship iNVOStocks app (React Native) with real-time trading, AI-based strategy engines, and biometric-secured login.
Achieved 70% load time reduction and 80% boost in trade prediction accuracy using ML models and optimized data pipelines.
Developed custom dashboards and market visualizations for stock analysis.
Ensured compliance via secure authentication and robust error monitoring.
🔧 Stack: React Native, Firebase, Django, Python, Scikit-learn, Git

React NativeFirebaseDjangoPythonScikit-learnGit

Kickr technology

Software Engineer

Aug 2023 – Feb 2024 · 6 mos · Noida, Uttar Pradesh, India · On-site

Built core features of the Shudhlove app using React Native and TypeScript, improving performance and UX.
Migrated company website to Next.js, boosting SEO and reducing load time by 70%.
Reduced crash rates by 97% by integrating Sentry and fixing 50+ production issues.
Optimized UI rendering and reduced frontend load time by 35%, increasing session duration by 45%.
🔧 Stack: React.js, Next.js, Redux Toolkit, Framer Motion, Firebase, Sentry

React.jsNext.jsRedux ToolkitFramer MotionFirebaseSentry

Metazone

2 roles

Associate Software Engineer

Promoted

Apr 2022 – Aug 2023 · 1 yr 4 mos · Faridabad, Haryana, India

Led frontend efforts on ScaleEasy and Sadhguru App, focusing on performance and UX.
Delivered reusable components, fixed 10+ critical bugs, and mentored junior developers.
Built performance-critical modules (e.g., Linga Bhairavi) achieving 60% faster load.
🔧 Stack: React.js, Redux, REST APIs, Git, Jira

React.jsReduxREST APIsGitJiraFrontend Development