Aditya Singh
Software Engineer at LTIMindtree. 1.3 years of experience building scalable enterprise platforms at the intersection of AI, cloud, and modern web development.
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Software Engineer at LTIMindtree. 1.3 years of experience building scalable enterprise platforms at the intersection of AI, cloud, and modern web development.
A curated set of technologies I use to build scalable, production-grade systems.
Production-grade systems spanning full-stack web, AI/ML, DevOps, and cloud deployment.
Personal Productivity & Monitoring Suite
Full-stack productivity suite with real-time analytics, ETL pipelines, and live Grafana dashboards for monitoring coding hours, error rates, and productivity metrics.
Key Achievements
Deep Learning Medical Imaging System
CNN-based deep learning system achieving 92% accuracy in detecting diabetic retinopathy from retinal images, deployed on AWS EC2 with scalable RESTful APIs.
Key Achievements
Multimodal AI Chatbot & Image Intelligence
Multimodal AI assistant combining LLMs, semantic search with FAISS, image classification, and contextual memory for real-time conversational intelligence.
Key Achievements
Scalable Education Platform
Real-time education platform built with Angular and Firebase supporting thousands of concurrent users with RBAC, cross-cloud sync, and optimized WebSocket connections.
Key Achievements
B.Tech in Artificial Intelligence
Specialized in AI/ML, algorithms, data structures, software engineering and cloud computing. Built strong foundations in both theoretical CS and practical development.
Modern Applications, Containers & Kubernetes
12-hour technical certification covering containerized application development, Kubernetes orchestration, and modern cloud-native deployment practices.
LearningDestiny Academy
Mentored 50+ students in Data Structures & Algorithms and full-stack development, strengthening problem-solving skills and practical software engineering knowledge.
Anurag University
Invited as jury member to evaluate student software engineering projects, providing feedback on implementation quality, architecture, and problem-solving approaches.
Open to new opportunities, collaborations, and interesting conversations. Feel free to reach out!