Artificial Intelligence Engineer @ MULTITV
Software Engineer with experience building cloud automation and machine learning solutions across enterprise software, healthcare AI, and quantum computing research. Currently building and deploying a B2B cloud migration platform that automates AWS-to-GCP workload migration. Experienced in Python, machine learning, PyTorch, Scikit-learn, FastAPI, Docker, Celery, Redis, Boto3, and cloud infrastructure automation. Developed a histopathology cancer classification system using Multiple Instance Learning and hold an Indian patent for an IoT-based smart safety system.
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Experience
Artificial Intelligence Engineer
MULTITV · Gurugram, Haryana
Jul 2026 – Present · 3 mo
• Built and deployed CloudShift, a B2B cloud migration platform that simplifies AWS-to-GCP workload migration through a one-click migration workflow. • Developed migration workflows for AWS EC2, ECS, EKS, ECR, and Lambda, automating resource discovery and migration to corresponding GCP services. • Implemented migration workflows using Python, Boto3, FastAPI, Celery, and Redis, supporting long-running migration operations through asynchronous task processing. • Integrated Google Cloud's Migrate to Virtual Machines (M2VM) workflow for compute migration, including source creation/reuse, initial synchronisation, continuous replication, final synchronisation, cutover, validation, and migration report generation. • Containerised and deployed the application using Docker and Docker Compose on a Linux-based production server, and manage application deployments and server operations. • Built the product interface and integrated it with backend migration services to provide a self-service migration experience.
AI Intern
PROTIVITI · Noida, Delhi
Jan 2026 – Jul 2026 · 6 mo
• Built supervised machine learning models on structured enterprise datasets containing 10K–14K+ records, achieving 83.7% classification accuracy. • Developed feature engineering and preprocessing pipelines using Python, Pandas, NumPy, and Scikit-learn to improve model consistency across datasets. • Automated data preprocessing and reporting workflows, reducing turnaround time from 2 days to 2 hours. • Collaborated with cross-functional stakeholders to translate business requirements into data-driven machine learning solutions.
Research Intern
DRDO · Metcalfe House, Delhi
May 2025 – Jul 2025 · 2 mo
• Implemented and experimented with quantum algorithms using Qiskit and simulated quantum circuits for cryptographic research. • Studied post-quantum cryptographic techniques and evaluated their resilience against quantum attack models including Shor's and Grover's algorithms. • Contributed to research and documentation on quantum-safe approaches for secure communication systems.
Education
B.Tech. Computer Science (Core)
VELLORE INSTITUTE OF TECHNOLOGY
2022 – 2026
High School Computer science
BAL BHARATI PUBLIC SCHOOL
2008 – 2022
Skills & stack
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