Data Scientist & Technical Lead
- Led a team, with the CEO and key stakeholders, to assess and extract knowledge graphs from published documents for corpus-constrained search and retrieval.
- Independently identified inefficiencies in analyzing digital risk. Developed a python-based language-agnostic topic analyzer, reducing analytical delivery times by 80%.
- Improved output fidelity with RLHF inferencing to incorporate domain expertise.
- Championed and enforced best practices across the software development lifecycle, implementing CI/CD with
- GitHub Actions and docker containers.
- Collaborated directly with customers and stakeholders to architect and launch a city-scale agent-driven simulation, visualizing vaccination rollout.
- AWS
- Terraform
ansible
nginx- GitHub
- GitHub Actions
- Python
- LLMs
Streamlit
Airflow
Data Scientist
- Designed, developed, and evaluated ML classifiers to improve streaming device conversions.
- Segmented customers by purchase propensity using audience segmentation techniques.
- Imputed incomplete user data with sampling and interpolation, improving efficacy.
- AWSSagemaker
- Hive
- GitHub
Instructor
- Created and taught curriculum for using Python in ETL workflow integration
Teaching Assistant
- Conducted lab demonstrations for students.
- Filled in when the professor was unwell.
- Held office hours to answer questions.
- Graded student assignments and labs.
- Courses:
- Python
- Java
- Engineering Ethics
- Algorithm Design
- Blackboard
- BrightSpace
- Evaluation
- Teaching
Course Instructor
- Created and delivered lectures and demonstrations to teach Python and algorithms.
- Developed rigorous evaluation methods, and managed teaching assistants.
- Implemented plagiarism detection and handled plagiarism cases.
- Evaluation
- BrightSpace
Research Intern
- Developed and ran multi-objective optimization simulations for resource scheduling using MATLAB and C
- Extensive use of optimization algorithms (Non-dominated Sorting Genetic Algorithm, etc)
MATLAB- C
Software Development Engineer
- Evolutionary algorithms to predict imapact of time-series events (improved prediction accuracy by 36x)
- Co-inventor on a a patent application relating to modeling attribution of advertisement features
- Genetic Algorithms
- Behavioral Analytics
Radio Automaton Software Tester
- Developed automated test scripts in Python to test wi-fi capabilities of BlackBerry handhelds and tablets
- Developed a modular framework to simplify future development of such test scripts
- Improved efficiency of test case analysis by over 200x
- OmniPeek
- OmniEngine
- Agilent Wireless Technologies
Wireshark
Mobile Applications Developper
- Developed web applications to display on mobile and desktop browsers.
- These applications served general administrative and sensitive student information.
- Tested user interfaces for usability and cross-platform compatibility.
- PHP
- MySQL
Auto-Test Framework Developer
- Developed automated testing framework for the company’s premier product line.
- Designed and imlemented tests for pre- and post-conditions; along with rollbacks and rich logging.
- Integrated Python with Microsoft’s .NET framework.
- Set up virtual development environment for future interns, to improve commissioning latency.
- Python
- Microsoft .NET
Web Analyst
- Analyzed web traffic and AdWords campaign and explored other online advertising avenues.
- Designed a program to rank URLs to which to add back/links to improve Google Page Rank.
- Python
- SEO
- Page Rank
PhD in Artificial Intelligence and Data Fusion, Minor in Combinatorial Algorithms
Dissertation: Optimizing Commercial Maritime Port Operations through High Level Information Fusion
- Developed algorithms and implemented advanced data fusion techniques for dynamic selection and deployment of algorithms and datasets to optimize maritime operational processes.
- Applied Multi-objective Evolutionary Algorithms, Neural Networks, and Fuzzy Systems.
- Designed evaluation metrics for Machine Learning models.
M.Sc. in Artificial Intelligence and Evolutionary Algorithms
Dissertation: A Hybrid Genetic Algorithm and Evolutionary Strategy to Automatically Generate Test Data for Dynamic, White-Box Testing
- Combinatorial and Evolutionary algorithms (Simulated Annealing, etc., Genetic Algorithms, etc.)
- Formal software design and proof, testing methodology (self-specifying and error checking code)
- Natural Language Processing
Hon. B.Sc. in Computer Science and Logic, Minor in Mathematics
- Artificial Intelligence – learning, planning, exploration, adversarial game logic, neural networks Strong foundation in predicate logic, semantics analysis and related theory
- Data structures, algorithm design and optimization
Pyvolution
Jan 2019 – Present
A pure-Python evolutionary algorithms framework with design-by-contract diagnostic capabilities.
Pystitia
Jan 2019 – Present
A pure-Python decorator-based design-by-contract framework.
CommentLogger
Jan 2019 – Present
A lightweight developer tool to add inline comments into application logs.
Healthcare Scheduling
Jan 2022 – Present
Real-time capacity management in healthcare scheduling in a multi-tenant architecture.