Work Experience – Sasank Vishnubhatla

General Dynamics Mission Systems – Viz

Developing new enterprise software architecture for new ground and space communication systems by using current open architecture standards as well as levying cutting edge inter-satellite communication technology
Improved productivity by 150% by initializing DevSecOps practices which led to decreased development overhead as well as increased customer trust and satisfaction.
Reduced engineering risk by 90% by applying model-based system engineering to enterprise programs which led to standardization of practices across GDMS.
Increased fidelity of enterprise functional and logical architectures by 120% by managing architecture activities which led to easier ramp up for other system engineers on new programs.

Improved productivity by 150% by initializing DevSecOps practices which led to decreased development overhead and established general guidance for incoming developers.
Developed modular and distributed training software for D.o.D. customer using Java Spring Boot and TypeScript stack which led to contract bonus and improved customer relations.

Trained and implemented various agile frameworks within software development teams using software like Jira which led to improved customer satisfaction and trust.
Decreased development overhead by 30% by designing modular Java Spring Boot and TypeScript stack which led to easier startup for new enterprise programs.

Performed research that concluded misinformation spread is increasing over time and developed insight on how to identify misinformation which was included in the Ph. D. thesis of mentor Sruti Bhagavatula.
Developed machine learning models in Python using scikit-learn with 98% accuracy to classify articles spreading misinformation by using differential analysis and natural language processing.

EdTech start-up, recipient of First Act Fund grant, developing AI to systemize parts of the $47B/year private tutoring market.

Reached 350 customers and 15 countries by designing a data analysis stack to enable machine learning techniques.
Advised team on cutting-edge machine learning and natural language processing tools to build a robust product offering.

Pittsburgh, PA | October 2019 – Present

Manage day-to-day business operations relating to community outreach and tournament contracts.
Organized 10+ tournament events for the local Pittsburgh community and East Coast online community as well as 4 regional events with prize pots of at least $250 amassing over 150 entrants each.

Cutting edge hockey analytics aiding teams and agencies in better decision-making and pushing the NHL into the data age.

Designed, developed, and deployed proprietary machine learning models to improve NHL player value analysis which led to more accurate player contract structures and newer, more modern salary bonus structures.
Aided 4 sport agencies’ contract and trade negotiation processes by supplying statistical analyses to value players leading to high-impact trades and contract signings.

Designed a secure and efficient blockchain model for contract closures between parties which allowed either party the ability to decline transactions while maintaining original blockchain structure.
Decreased engineering risk by 75% by applying theory of zero-knowledge proofs to software design and architecture.
Managed interns and provide thought and technical leadership on projects related to a central attribute management system for user identification, authentication, and authorization; and facial recognition to aid in identifying micro-expressions from still images and video feeds.

Designed business logic for UI database platform to manage science fair project entries which led to increased performance of the overall system.
Improved backend of science fair project database by increasing efficiency by 200%, decreasing latency by 500%, and decreasing storage by 150%.
Mentor for Empowered: non-profit bringing computer science and entrepreneurship to minority girls; taught HTML, CSS, and Python scripting to create a website for the local school district.

Implemented optimal search algorithms which led to 200% increase in data validation accuracy and 150% decrease in data automation time and space to decrease maintenance costs.