Hi, I'm Saksham Goyal
Building intelligent systems at the intersection of AI and scalable backend architecture. Specialized in GenAI-powered products, agentic workflows, and full-stack mobile development.
Work Experience
Over 4 years of building scalable AI-powered products and backend systems that impact thousands of users worldwide.
Senior Software Engineer - AI + Backend
IOK Labs Inc (NutriChef)- Architected and developed NutriChef end-to-end, integrating Agentic AI workflows, backend systems, and full-stack mobile apps (Flutterflow), powering personalized nutrition and fitness solutions for thousands of users.
- Designed modular, brand-customizable architecture supporting white-label rollouts for clients, including Ryan Fernando (50K+ users, 10K+ MAU), Sustainable Secrets Academy, and Sweat & Tonic.
- Built and deployed GenAI-driven features such as 'Snap-to-Track' and 'Write-to-Track' enabling automated meal and workout logging.
- Implemented real-time personalized diet and workout plan generation, integrating dietary preference analysis, blood report interpretation, and MarianaTek APIs.
- Delivered scalable backend infrastructure supporting thousands of concurrent user sessions and seamless LLM-powered interactions.
Platform Engineer - tinychef
IOK Labs Inc- Delivered LLM-powered features and core platform enhancements for the Sanjeev Kapoor Recipes App and Smart Recipes Alexa Skill, tripling engagement to 100K+ MAU and 500K+ monthly voice interactions.
- Built advanced Search 2.0 and a Recipe Recommendation Engine, increasing user satisfaction by 30%.
- Developed an in-house ads platform and internal CMS tools, streamlining content import, analytics, and campaign operations.
- Partnered with teams from ITC, Swastha Cookware, Yogify to build AI-powered campaign features improving personalization and brand engagement.
- Led and mentored a cross-functional team of engineers and interns to deliver high-impact releases under tight timelines.
Software Engineer - AI
Nayan Technologies- As part of the Dubai Future Accelerators program, developed and deployed an AI-powered traffic violation detection system for Dubai Police.
- Automated the retraining and deployment of Deep Learning models via a microservices-based architecture, reducing developer effort by 70%.
- Achieved 91% accuracy in detecting Lane Occlusion with a trained lane segmentation model on live camera feeds.
- Improved YOLOv4 model accuracy by 25% through dataset optimization and retraining for our use cases.
- Developed an optimized License Number Plate Recognition (LNPR) system for both cloud and mobile deployment.
Research Intern (AI / Computer Vision)
Adventure Advanced Solutions
- Built and deployed an AI-powered pipeline for early Glaucoma detection using fundus imaging, improving diagnostic accuracy and processing time.
- Trained and evaluated deep learning models for semantic segmentation, anomaly detection, and disease classification on medical image datasets.
- Applied transfer learning and ensemble modeling to enhance robustness of medical imaging predictions.
- Collaborated with healthcare specialists to validate results and optimize performance for real-world use.
Skills & Technologies
A comprehensive toolkit for building intelligent, scalable systems from concept to production.
AI & Machine Learning
Backend Development
Cloud & Infrastructure
Deep Learning & CV
Notable Projects
A selection of impactful projects that showcase expertise in AI, backend architecture, and product development.
NutriChef AI Platform
End-to-end AI nutrition platform with agentic workflows, personalized diet plans, and GenAI-powered meal tracking. Powers 50K+ users with white-label solutions for fitness brands.
tinychef Voice Platform
LLM-powered cooking platform for Sanjeev Kapoor Recipes with 100K+ MAU and 500K+ monthly voice interactions via Alexa.
Traffic Violation Detection
AI-powered system for Dubai Police detecting lane violations with 91% accuracy using YOLOv4 and custom lane segmentation.
Glaucoma Detection System
AI pipeline for early Glaucoma detection using fundus imaging with transfer learning and ensemble modeling for robust predictions.
Education
Bachelor of Technology - Computer Science
BML Munjal University
Gurugram, India • 2016 - 2020
Core Competencies
Let's Connect
I'm always open to discussing new opportunities, interesting projects, or just having a chat about AI and technology.