M.S. Computer Science @ Illinois Institute of Technology (GPA: 4.0)
Data Engineering • Applied AI • GenAI Systems
I'm a graduate Computer Science student at Illinois Institute of Technology, specializing in Data Engineering and Applied AI.
Previously, I worked in the CTO’s Office at a global AI & fintech organization, where I reported directly to the CTO and collaborated with engineering, product, and leadership teams to deliver scalable data platforms and GenAI-powered automation.
I enjoy operating at the intersection of data infrastructure, applied machine learning, and executive-level problem solving—translating strategic vision into reliable, production-grade systems.
I am actively seeking Data Engineer and Applied AI / ML opportunities.
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Illinois Institute of Technology, Chicago, IL
M.S. Computer Science — GPA: 4.00
📅 Expected Graduation: May 2027 -
VIT Bhopal University, India
Integrated B.Tech + M.Tech in Artificial Intelligence — GPA: 3.66
Programming & Core
- Python, SQL, R
Data Engineering
- ETL Pipelines, Data Lakes
- Airflow, dbt
- Postgres, BigQuery
- CI/CD, GitHub Actions
Applied AI / GenAI
- LLMs, Prompt Engineering
- OpenAI API, Hugging Face
- AI-driven automation workflows
Cloud & Systems
- Docker, Cloud Monitoring, Grafana
- Backend REST APIs
Analytics & Visualization
- Looker Studio, Tableau
Vue.ai (M2P Fintech)
CTO Office | Data Engineering & Applied AI
- Reported directly to the CTO, supporting high-impact engineering and automation initiatives.
- Designed GenAI-powered documentation and deployment workflows, reducing manual effort by 90%.
- Built and optimized ETL pipelines, improving data freshness and throughput.
- Engineered production-grade Python SDKs adopted by enterprise clients.
- Implemented CI/CD pipelines and cloud monitoring, lowering infrastructure costs by 20%.
- Contributed to strategic initiatives around platform scalability, developer productivity, and AI adoption.
- Processed 500K+ NYC taxi trips using a cloud-based ETL pipeline.
- Built analytics-ready datasets with GCP, Airflow, dbt, BigQuery.
- Delivered dashboards highlighting 25% daily demand variation.
🔗 GitHub Repo
- Built a CNN/DenseNet-based system achieving ~92% melanoma detection accuracy.
- Reduced manual screening effort by 80%.
- End-to-end ML pipeline with deployed web interface.
🔗 GitHub Repo
(For more projects, check my pinned repositories.)
I'm a published researcher with peer-reviewed work in IEEE and IET venues, focusing on AI systems, healthcare informatics, and IoT-enabled intelligence.
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IoT-based Smart Beekeeping Monitoring System
IEEE International Conference on Computing, Communication and Technologies (ICCCT)
🔗 IEEE Xplore -
IoT to Prevent Future Pandemics
IEEE International Conference on Advanced Computing and Communication Systems (ICACCS)
🔗 IEEE Xplore -
Introduction to Healthcare Informatics
IET Digital Library — Book Chapter
🔗 IET Digital Library
- Finalist — Smart India Hackathon (Top 5 of 2500+ teams).
- Secured government funding for AI + IoT monitoring solution.
- Co-founder & President, AI Club (VIT Bhopal University):
- Led 15+ workshops and 2 international conclaves.
- Launched a student-led AI research magazine.
📎 Available via LinkedIn or on request.