π Portfolio: helloamit.in
| π― Impact | π Metrics |
|---|---|
| π€ AI Solutions Deployed | 15+ Enterprise Projects |
| β‘ Efficiency Improvement | 87.5% Time Reduction |
| π Team Leadership | 4+ Engineers Managed |
| π Model Performance | FPPI: 0.3 β 0.03 |
| π Recognition | EY Client Extraordinaire |
| π Publications | 1 Research Paper |
| π― Accuracy Improvement | 95% in Document Analysis |
| βοΈ Cloud Expertise | AWS & Azure Certified |
- π Document Intelligence System: OCR + RAG system with 95% accuracy improvement over traditional methods
- β‘ RAQ Automation Platform: Reduced cybersecurity assessment time by 87.5% (32 hours β 4 hours)
- π¬ Interactive AI Chatbot: Real-time Q&A platform enabling SMEs to focus on high-risk assessments
- π§ MLOps Pipeline Framework: Automated CI/CD for ML models using GitLab, Docker, and Kubernetes
- π Species Detection System: Computer vision for aquatic life and insect classification using custom datasets
- π Apple Crop Disease Detection: AI-based agricultural disease identification (Published Research)
- π§ Custom CNN Architectures: Advanced deep learning model development with FPPI improvement
- π Performance Optimization: Enhanced model metrics from 72% to 87% recall and precision
- π Kubernetes ML Deployment: Scalable model serving infrastructure on AWS and Azure
- ποΈ Terraform Automation: Infrastructure as Code for ML workloads and auto-scaling
- π Multi-cloud Architecture: AWS and Azure integration strategies for enterprise clients
- π Cost Optimization: Implemented efficient resource management reducing cloud costs by 30%
| π« Institution | π Degree | π Year | π― CGPA/Score |
|---|---|---|---|
| CDAC, Mohali | M.Tech in Artificial Intelligence | 2020-2022 | 8.5/10 |
| LPU, Punjab | B.Tech-MBA (CSE & Marketing) | 2013-2018 | 7.7/10 |
| π Certification/Award | π’ Issuer | π Year | π Credential |
|---|---|---|---|
| Microsoft Azure AI Engineer Associate (AI-102) | Microsoft | 2024 | View Certificate |
| EY Client Extraordinaire Award | Ernst & Young LLP | 2025 | Excellence in Client Service |
| Research Publication | IJSRD | 2023 | View Paper |
π§ Email: neuralnetworkpro@gmail.com
π± Phone: +91 75080 47521
π Website: helloamit.in