Sanjeeb L.
Full Stack AI Engineer and Make Certified Professional and with a strong focus on automation and system integrations. Experienced in building complex automated workflows and developing web applications using Bubble.io, with successful projects in recruitment, e-commerce, and social platforms. Proficient in both front-end and back-end development using Next.js, React, and Node.js. Skilled in transforming ideas into scalable MVPs with real-time tracking and optimized performance. Strong expertise in integrating third-party services such as Stripe, Google Maps API, and AI models. Proven ability to lead cross-functional teams and deliver automation-first solutions across the full development lifecycle.
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Integrated Firebase with HubSpot CRM using Zapier to automate user onboarding workflows, enabling real-time synchronization of user data for improved marketing and sales alignment.
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Designed and implemented custom Zapier workflows to automate event tracking, user segmentation, and lifecycle stage updates based on behavioral data from Firebase.
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Ensured seamless data synchronization between Firebase Users and HubSpot Contacts, maintaining consistent and accurate user profiles across systems.
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Collaborated closely with the CTO and HubSpot Expert to define the integration roadmap, rapidly iterating on feedback to boost user retention through personalized, automated workflows.
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Technologies Used: Zapier, Firebase, HubSpot CRM, JavaScript (for webhook logic), Google Sheets (for interim data validation)
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Spearheaded rapid MVP development for a family travel social platform using Bubble.io, ensuring a timely and smooth product launch.
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Rescued a delayed project by resolving critical technical issues and optimizing platform performance, resulting in a stable and fully functional release.
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Architected and delivered key features such as location-based shoutouts, group/private chats, and an automated invite system to increase user engagement.
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Built advanced filtering functionality to match users based on personalized travel preferences, improving content relevance and retention.
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Engineered a scalable database and optimized workflows to support real-time tracking and seamless geolocation services using Google Maps API.
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Used automation tools like Zapier and Make to streamline workflows, enhance integration capabilities, and reduce manual effort across the platform.
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Collaborated with cross-functional teams to translate user feedback into development priorities, driving iterative improvements.
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Technologies Used: Bubble.io, Zapier, Make, Google Maps API, JavaScript, HTML, CSS, Figma
- Led the design and development of SkillSpot, a cutting-edge AI-powered recruitment platform.
- Mentored a cross-functional team of 10+, clarified system processes, and facilitated project management, ensuring the successful platform launch.
- Engineered bulk CV matching and analytics tools, analyzing over 100,000 resumes to deliver optimized candidate fit scores across multiple job openings, significantly enhancing the recruitment process.
- Oversaw 10,000+ multilingual AI-driven text and voice interviews and prioritized the rollout of AI-powered video interviews, streamlining and improving the candidate evaluation process.
- Developed a custom Zapier app for SkillSpot, enabling integration with 7,000+ platforms and improving data transfer efficiency. Also integrated third-party services like Stripe, Zoom, and AI models to enhance platform functionality.
- Tech Used: Bubble.io, AI Integration, SaaS , Project Management , Web Development
- Led the rapid learning and implementation of Bubble.io for a reservation app, developing the app, creating a learning roadmap, and teaching the team to ensure fast and efficient development under tight deadlines.
- Developed checkout and invoicing features for a dropshipping app, adapting to frequent design changes and delivering the initial version on time. Researched Shopify integration for future phases.
- Optimized Lighthouse performance for a social networking service (SNS), boosting desktop performance from 45% to 99% and mobile performance to over 90%, significantly improving load times and user experience.
- Created a ‘Web Performance 101’ guide and automated Lighthouse audits, enabling the team to independently analyze and optimize frontend performance, thereby speeding up development.
- Developed and standardized a reusable frontend skeleton, ensuring consistency across projects and accelerating the development of new features.
- Tech Used: Next.js, Bubble.io, Web Performance, Shopify
- Developed and deployed a Worker Payout solution, streamlining the process to improve operational efficiency and reduce processing time.
- Created clear documentation for QA testers and end-users, enabling smooth adoption and reducing onboarding time.
- Debugged logical and programming issues, enhancing system reliability and ensuring seamless functionality.
- Facilitated communication between technical and non-technical stakeholders, ensuring project alignment, addressing constraints, and maintaining transparency.
- Tech Used: React , Express.js , Go , Ruby on Rails , AWS
- Developed responsive front-end interfaces for e-commerce and nursery web applications, enhancing user experience and accessibility across devices, which improved engagement and increased conversion rates.
- Streamlined backend operations through regular updates and optimizations, improved system performance, and reduced downtime, ensuring smooth and efficient user interactions.
- Tech Used: HTML , CSS, JavaScript, Vue.js , Quasar