Resume

- Lead backend development using .NET and C#, building reliable, scalable services that power the company’s safety monitoring platform.
- Integrate AI‑driven features into the monitoring system to enhance detection accuracy, automate insights, and improve overall platform intelligence.
- Develop automated testing frameworks and write comprehensive test cases to improve system reliability, reduce manual effort, and support continuous delivery.
- Work closely with IoT hardware, including smoke detectors, fire alarms, and other safety devices, ensuring seamless communication between sensors and backend systems.
- Build automation tools in Python and C# to streamline internal workflows, improve data processing, and support operational efficiency.

- Designed and implemented Alteryx workflows to automate data extraction, transformation, and loading processes, resulting in significant time savings and improved data accuracy.
- Used Alteryx Server to schedule and automate ETL workflows, reducing manual effort and improving overall efficiency.
- Extracted latitude and longitude data from bulk data using Python and wrote ETL pipelines for storing it in EDW.
- Worked with cross-functional teams to design and implement data integration solutions using Alteryx and Python, ensuring alignment with business requirements and data governance standards.
- Created an ETL pipeline to store Ookla SpeedTest data in EDW database, reducing search time by 40%.

- Worked on website migration with 5000+ products from Drupal 8 to WordPress
- Worked on JSON API to fetch and compare pricing from other websites.
- Automated and optimized collecting data using SQL, reaching over a 35% system response time boost.

- Developed an End to End ML tool (OCEL.AI) which is used by 4 universities with 100+ live projects.
- Data visualization is done on structured, unstructured, text, image data using D3.js, T-SNE, Tableau.

Grants: Dean’s International Student Award (DISA), Chandra Scholarship
Coursework: Design Analysis of Algorithms, Deep Learning, Cloud Computing, Web Programming, Big Data Analytics, ADBMS, Unity AR

Location: Dehradun, India

See Publication
We proposed a generic framework for diagnosis of Progeria syndrome among the newborns. We proposed novel framework architecture of VGG-16. We have used multiple machine learning algorithms and feature extraction tools and we got best results in Logistic Regression algorithm.

See Publication
We propose a generic model to classify a given image by detecting a specific image patch. Employing MPEG-7 features along with feature selection populates the feature space which is used to train using SVM classier.

Student volunteer at UMKC Enactus. Developed FeedKC website to connect food donors and requestors online. This project had reduced food waste by more than 700 lbs per semester. That's 700 lbs of food directly translating into dollars saved for their bottom line in just 4 months.
Website: www.feed-kc.com