AI/ML Engineer & Full Stack Developer
Get In TouchAI/ML Engineer with strong foundations in Data Structures, Algorithms, Object-Oriented Programming, Operating Systems, and System Design. Experienced in building scalable backend systems, real-time machine learning pipelines, and production-ready AI applications.
Proficient in Java, Python, JavaScript, TensorFlow, and Docker. Passionate about solving complex problems and transforming ideas into impactful digital experiences.
• Built end-to-end machine learning pipelines, improving prediction accuracy by 18%
• Designed asynchronous data processing workflows for near real-time inference, reducing model latency by 25%
• Optimized feature engineering and algorithm selection to improve throughput and system performance
• Worked in an agile development environment using Git-based version control
• Led end-to-end development of a production website, improving page load time by 30%
• Improved usability, responsiveness, and maintainability through modular frontend architecture
• Live site: https://pree-om.github.io/spandan-tv/index.html
• Designed real-time video analysis pipelines to detect crowd density and violent activities
• Implemented live CCTV stream ingestion with automated alert generation
• Simulated production-scale surveillance systems with real-time monitoring
• Tech: Computer Vision, OpenCV, TensorFlow, Real-Time Processing
• Built multi-agent AI workflows for high-accuracy misinformation detection across text and image modalities
• Developed backend services using Node.js and PostgreSQL with containerized deployment
• Enabled scalable and modular AI pipelines for real-world misinformation analysis
• Tech: NLP, Computer Vision, Node.js, PostgreSQL, Docker
• Architected agentic AI orchestration for GPS-based emergency detection and real-time doctor alerts
• Built a doctor-only human-in-the-loop AI council with compliance-aware decision support
• Implemented secure end-to-end healthcare automation with encrypted data flows and audit-ready reports
• Tech: Agentic AI, GPS Integration, Security Protocols, Healthcare Compliance
• A gamified trading platform that integrates live stock market data with fantasy elements
• Features include interactive option chain visualizations and portfolio risk modeling
• Makes financial education engaging and accessible through VR trading interface
• Tech: Real-time Data Processing, Financial APIs, Visualization, Gamification
ITER, Siksha 'O' Anusandhan University
2023 – Present
CGPA: 9.44 (Top 5% of University)
Relevant Coursework: Data Structures, Algorithms, Operating Systems, Software Engineering, OOP, System Design
Fakir Mohan Higher Secondary School
2021 – 2023
1st Division
Specialization: Computer Science & Mathematics
St. James' Convent School
2009 – 2021
CGPA: 9.16/10
House Leader & Event Organizer
Led team to victory in AI-focused hackathon with innovative implementation of real-time video processing and alert system for women's safety.
Selected among top 100 teams in Asia's largest hackathon powered by HCLTech, competing against 2000+ participants with Fintech Gringotts project.
Developed AI-powered waste categorization system in 6 hours, securing 3rd position among 50+ competing teams.
Created Fintech Gringotts Trading Simulator, a gamified platform integrating live stock market data with fantasy elements for financial education.
Built SangRakshak AI system for women's safety, ranking in top 10 among 120+ teams with real-time video analysis capabilities.
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