Shankar Lal

Software Engineer

Binate digital • Tiempo completo

Jan 2024 - Jan 2026 • 2 yrs

As a Full Stack Software Engineer, I create and build fast and efficient websites using the MERN and MEAN technology stacks. I help with all steps of creating software, from understanding what is needed and designing it to launching it and providing support after it is up and running. MERN and MEAN (MongoDB, Express.js, Angular.js, React.js, Node.js) JavaScript (ES6+), TypeScript, HTML5, CSS3, REST APIs, Git, Docker, Cloud Platforms. Made the application work 30% better by improving the backend and making the front end better. ✔ Made pages load 40% faster by using techniques called lazy loading and code splitting. Improved application security by using strong login systems. Created systems that can handle over 10,000 active users. ⚙️ Simplified the CI/CD process, making deployment 60% faster. 🔧 Cut down on mistakes in production by making testing and review processes better.

Software Engineer

E-medigo • Tiempo parcial

Dec 2020 - Dec 2023 • 3 yrs

Co-Founder & Chief Executive Officer (CEO) At E-Medigo, I was responsible for the company's technical plans and design. I worked on creating large, AI-based solutions and strong full-stack platforms. As CEO, I stayed very involved in designing systems, leading engineering teams, and making technology choices. Core Expertise Artificial Intelligence & Machine Learning Predictive analytics and data modeling Intelligent automation systems Custom ML model development & deployment AI integration into enterprise applications Computer Vision Real-time image & video processing Object detection & recognition systems Vision-based analytics solutions Full-Stack Development MERN Stack (MongoDB, Express, React, Node) MEAN Stack (MongoDB, Express, Angular, Node) RESTful APIs & microservices architecture Scalable frontend architectures Cloud & DevOps AWS / Azure / GCP cloud deployments CI/CD pipeline automation Docker containerization Scalable cloud-native infrastructure Performance monitoring & logging 🏗️ Our Approach Discovery & Strategy – Understand business objectives and define technical roadmap Architecture Design – Build scalable, secure system architecture Agile Development – Iterative delivery with continuous testing Deployment & Optimization – Cloud deployment, monitoring, and scaling Ongoing Support – Maintenance, upgrades, and performance optimization 📈 Impact & Achievements Delivered AI-powered and full-stack solutions across multiple industries Built scalable systems supporting thousands of concurrent users Reduced deployment cycles through automated DevOps pipelines Developed production-grade ML models integrated into enterprise workflows Established long-term partnerships with technology-driven businesses 🎯 Vision To become a global technology partner delivering intelligent, scalable, and future-ready digital solutions powered by AI and cloud innovation