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β¨ Computer Science student passionate about full-stack development and emerging technologies
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π§ Problem-solving enthusiast with 3β CodeChef rating and Knight @ LeetCode
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βοΈ Experienced in AI workflows, cloud computing, and agent re-engineering systems
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π Currently pursuing B.Tech in Computer Science and Engineering with AI & Data Science Honors
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π« Reach me at shehzanask@gmail.com
B.Tech in Computer Science and Engineering | Honors: Artificial Intelligence and Data Science
Shri Ramdeobaba College of Engineering and Management, Nagpur | 2022 - 2026 (Expected)
- 3β CodeChef - Consistently high performance in competitive programming
- Knight @ LeetCode - Strong problem-solving capabilities
- π₯ Winner - AI Hackathon at VNIT Nagpur's Axis'25
- π Finalist - Google Solution Challenge 2025 (Top 105 from 3,700+ teams globally)
- π Finalist - CyberHack 2025 by Maharashtra Police (Top 20 from 600+ teams)
- π Finalist - CIDECODE, Bangalore by CCITR, Karnataka (Top 17 from 800+ teams)
- Microsoft Certified: Azure AI Fundamentals (AI-900) - June 2025
- Microsoft Certified: Azure Fundamentals (AZ-900) - June 2025
- AWS Certified Cloud Practitioner (CLF-C02) - June 2025
- Oracle Cloud Infrastructure 2024 Generative AI Certified Professional - July 2024
- Tech Stack: Next.js, FastAPI, MongoDB, Firebase, AWS Fargate
- Impact: 35% reduction in agent execution latency through automated optimization
- Deployed Mistral-7B and Deepseek-7B models with PEFT/LoRA fine-tuning
- Built real-time WebSocket server for secure SFTP/SSH session management
- Tech Stack: Next.js, TypeScript, Tailwind CSS, Ethereum, Blockchain
- Impact: 100% data integrity through verified digital signatures
- Implemented smart contracts for transparent evidence chain of custody
- AI-powered audit reporting for accelerated forensic investigations
- Tech Stack: AWS Lambda, S3, API Gateway, Serverless Architecture
- Impact: Reduced access time from 5+ minutes to <10 seconds
- Automated processing of 1,000+ university question papers
- 90%+ improvement in resource accessibility and discoverability