---
title: "Sharon Stephen - Software Development Engineer in Thiruvananthapuram | Tal"
description: "Meet Sharon Stephen, Aspiring AI Engineer | Full-Stack MERN Developer | Passionate about GenAI and Agentic AI | Machine Learning Enthusiast | MIT’25 based in Thiruvananthapuram. AI stack includes hugging face, ollama, and openai."
image: "https://tal.club/meet/sharon-stephen/share-image"
---

# Sharon Stephen on Tal

## Headline

Aspiring AI Engineer \| Full\-Stack MERN Developer \| Passionate about GenAI and Agentic AI \| Machine Learning Enthusiast \| MIT’25

## About

I’m a recent Computer Science graduate who somehow managed to turn “curiosity \+ creativity \+ caffeine” into a full\-time career\. I currently work as a Software Development Engineer, where I build production\-ready web and mobile applications using React, React Native, Node\.js, Express, and MongoDB\. Over time, I realized something important: I don’t just like building systems, I love understanding how they think\. That’s what pulled me deep into the world of AI, especially Generative AI and Agentic AI\. I’ve worked on practical machine learning and computer vision systems \(including real\-time face analysis and deepfake detection\), and it opened my eyes to how AI can genuinely transform everyday software\. Frankly, this line of work appeals to all my passions, I love solving problems \(especially the kind that make computers cry\)\. Debugging gives me a strange sense of joy; call it chaos therapy\. There’s nothing more satisfying than watching your “50\-minute problem” finally work because you fixed a typo or changed one line of code\. I also care a lot about building things that matter: systems that people interact with, rely on, and benefit from\. I aspire to grow into an AI Engineer who builds intelligent, production\-grade systems that blend full\-stack engineering with real\-world AI applications\. I’m highly adaptable, collaborative, and thrive in team environments where people learn from each other, push boundaries, and build genuinely cool things\. Whether it’s full\-stack engineering, AI development, or any role where I can blend my skills with my curiosity, I’m always excited to contribute, learn, and take on new challenges\.

## Location

Thiruvananthapuram

## AI stack

hugging face

ollama

openai

replit

## Work experience

Software Development Engineer at Meantr Software, Jul 2025 \- Present · 11 mos, Building production\-ready web, mobile, and AI\-driven features using React, React Native, Node\.js, Express, MongoDB, and Google ML Kit\. \- Delivered full\-stack features across multiple client platforms, improving overall product reliability and user experience\. \- Built an on\-device AI face analysis system with Google ML Kit that powered real\-time facial landmark detection and dynamic mesh/grid filter effects for both images and live video\. \- Designed and optimized REST APIs, reducing latency and improving backend responsiveness across deployments\. \- Integrated cloud workflows using Cloudinary and Nodemailer, improving asset management and automated communication flows\. \- Supported team growth by mentoring two engineering interns, reviewing PRs, and assisting with architecture decisions\.

Software Engineer Intern at Meantr Software, Jan 2025 \- Jul 2025 · 7 mos, Contributed to full\-stack development across multiple client projects using MERN stack, improving business operations, development speed, and customer experience\. \- Helped deliver features that resulted in an estimated 20% improvement in client sales across implemented products\. \- Improved development speed by 2× by building reusable frontend components and introducing a modular UI architecture\. \- Developed a time\-based booking system with real\-time slot filtering, increasing booking success rates by 30%\. \- Built backend modules for automated invoice generation using React\-PDF and MongoDB, reducing manual billing effort by 70%\. \- Developed product and inventory management systems with CRUD features, smart filtering, and optimized schemas, boosting admin workflow efficiency by 60%\. \- Implemented secure authentication using JWT and structured backend routes, improving scalability and maintainability\.

Computer Vision Research Intern at Manipal Institute of Technology, Jun 2024 \- Jul 2024 · 2 mos, Manipal, Karnataka, India, Researched deepfake detection techniques and built ML pipelines to study synthetic facial manipulation patterns\. \- Designed and trained deep learning models using TensorFlow and PyTorch, achieving 89% accuracy in deepfake classification experiments\. \- Built full machine learning pipelines covering preprocessing, augmentation, noise reduction, and evaluation\. \- Analyzed tampered facial regions and model performance using OpenCV, Pillow, NumPy and Matplotlib\.

## Education

Bachelor of Technology \- BTech, Computer Science, Manipal institute of technology

High School Diploma, Indian Language School

[View the original profile](https://tal.club/meet/sharon-stephen)

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