About Me
I'm a passionate Data Engineer and Cloud Infrastructure Specialist with over 3 years of combined experience building scalable, secure, and innovative solutions. Currently pursuing my Master's in Computer Science at Indiana State University, I specialize in AI-powered automation, MLOps platforms, and cloud-native architectures.
My expertise spans from developing autonomous AI agents to implementing federated learning systems, always with a focus on security, scalability, and real-world impact. I'm particularly passionate about the intersection of AI and cloud infrastructure, creating solutions that push the boundaries of what's possible.
Master's in Computer Science
Indiana State University
Aug 2023 - May 2025
B.Tech Computer Science
SRM Institute of Science and Technology
Jul 2019 - Jun 2023
Location
Terre Haute, Indiana, USA
Open to relocation & remote work
Professional Experience
Automated system workflows using Python, cutting manual effort and downtime by over 70%
Deployed and managed Dockerized AWS infrastructure using Terraform for scalable app delivery
Created Power BI dashboards and optimized SQL queries to accelerate data insights by 50%
Conducted IAM audits and enforced RBAC policies, reducing security vulnerabilities by 40%
Resolved 95% of Tier-2 support tickets for 200+ users, improving response and resolution times
Streamlined onboarding with automated provisioning scripts, reducing setup time by 65%
Key Technologies & Tools:
Featured Projects
Built an autonomous agent pipeline integrating GPT-style LLMs with LangChain for chained decision-making, featuring orchestration with Docker containers and Kubernetes cron jobs. Achieved 95% task completion rate in simulated environments.
Key Highlights:
- Multi-step pipelines with callbacks and state management
- Serverless inference endpoints via AWS Lambda
- Dynamic self-assessment module for iterative output refinement
- Optimized prompt structures reducing latency and token usage
Technologies:
Created a serverless web app to ingest PDFs, transcripts, and web pages for generative summarization using GPT-4 and Azure Cognitive Services. Reduced summarization time by 40% compared to baseline models.
Key Highlights:
- OCR and text extraction before GPT-4 processing
- Role-based access control with Azure Key Vault
- Optimized NLP throughput using batching and prompt tuning
- Usage analytics and feedback loop for quality refinement
Technologies:
Architected a hybrid edge-cloud system for real-time computer vision inference on IoT devices with 80% latency reduction through model optimization. Achieved 99% accuracy in object detection.
Key Highlights:
- Object detection models optimized for edge devices
- MQTT streaming to AWS Greengrass cores
- 80% latency reduction through model quantization
- Secured device communication using TLS and AWS IAM
Technologies:
Developed an end-to-end MLOps stack deployed in Kubernetes with automated model testing, canary deployment pipelines, and drift detection. Reduced model deployment time by 60%.
Key Highlights:
- Experiment tracking and version control with MLflow
- CI/CD workflows for model retraining and deployment
- Multimodal data ingestion from S3 and Snowflake
- Automated drift detection and alerting system
Technologies:
Designed a privacy-conscious federated learning system where clients train local models and share updates without exposing raw data. Maintained 90% model accuracy compared to centralized training.
Key Highlights:
- Secure enclave support with Docker + FastAPI
- Distributed training orchestration with Flower framework
- Encrypted model updates with mutual TLS
- Validated with 10+ simulated clients achieving near-centralized performance
Technologies:
Technical Skills
Certifications:
- AI & High-Performance Computing Certification – FICE Education
- Google UX Design Certification
- AWS Solutions Architect (In Progress)
- Terraform Associate (In Progress)
Achievements:
- Runner-up at ISU Hackathon 2024
- Active GitHub contributor
- Led student DevOps group
- Volunteer mentor for CS students
Get In Touch
Let's Connect
I'm always interested in discussing new opportunities, innovative projects, and collaborations in AI, cloud infrastructure, and data engineering. Feel free to reach out!
Phone
+1 (336) 905-1914Location
United States of America
Open to relocation & remote work