Maneesh Jeyakumar Resume 2025

Maneesh Jeyakumar - *

MANEESH JEYAKUMAR (US CITIZEN, TS CLEARANCE, SCI ELIGIBLE)

Phone: 919-***-****

***.*********@*****.***

**** ******** **

Annandale, VA 22003

PhD scientist with a focus on applied physics & mathematics, data science computer vision, image analysis, signal processing, machine learning/AI, algorithm development, the modeling and simulation of complex systems, and software and hardware prototyping.

Possesses a diverse and flexible skill set and a strong learning aptitude. Skilled communicator of complex subjects in writing and in presentation.

EDUCATION

PhD Washington University in St. Louis - Physics May 2019 MS Washington University in St. Louis - Physics May 2017 BS East Carolina University – Physics May 2013

Minor - Economics

Graduated Summa Cum Laude

WORK EXPERIENCE

DCS Corporation

Senior Scientist at Naval Research Laboratory

● Computer Vision & Signal / Image Processing March, 2022 - Present Developed a method for autonomous navigation and targeting by unmanned aerial vehicles

(UAVs) in GPS denied environments using computer vision techniques from Structure from Motion (SfM) and 3D Simultaneous Localization and Mapping (3D SLAM). Research applications of AI/ML methods to autonomous navigation and perception. Signal and Image analysis of infrared and image data from the DoD project SPIER/SPECCS. Multi-target detection and tracking.

Skills: Programming: Matlab/Simulink, Python, C; Statistical Signal Processing; Algorithm Development; Computer Vision; Image Analysis; SfM / SLAM; Kalman Filter Design; Sensor Fusion; Sensor Simulation; Autonomous System Perception and Navigation; EO/IR Sensors and Sensor Fusion

Booz Allen Hamilton

Lead Technologist at Joint Staff J6

● AI/ML Analyst Dec, 2021 - Feb, 2022

AI/ML Analyst for the Joint Staff J6. Responsibilities include evaluating, coordinating, and guiding AI/ML endeavors within the DoD as well as the development, organization, and implementation of new AI/ML endeavors.

● AI/ML Subject Matter Expert May, 2021 - Nov, 2021 Involved with all matters related to the development of AI/ML Capabilities within the USMC CDD CE- Intelligence, including UAS payload design and requirements and development of infrastructure required to host AI/ML capabilities.

Quantitative Scientific Solutions

Senior Scientist 2020 – 2021

● Senior Scientist

Developed signal processing and image processing techniques in conjunction with AI/Machine Learning techniques, including signal/image processing based neural networks. Applied AI/ML techniques to large, complex data sets. Utilized AI/ML cloud for development of signal processing and AI/ML capabilities. Maneesh Jeyakumar - 2

Skills: Programming: Matlab/Simulink, Python, R & Mathematica; Data Analytics / Data Visualization

/ Data Science; Algorithm Development; Time-Series Analysis Techniques; Generative AI; Computer Vision; RF Machine Learning

● SETA at DARPA Information Innovation Office (I20) Supported DARPA projects in Electronic Warfare, Machine Learning/AI, RF Signal Processing, SIGINT, and Cyber Operations. Provided subject matter expertise and technical assessments of strengths and weaknesses of R&D proposals. Provided technical analysis to aid in the determination of optimal strategies for project management, including the determination of project metrics, goals, and objectives. Maintained communication with project performers and assisted in management of and coordination between performers and between performers and DARPA.

Details of duties classified at TS/SCI level. For specific questions or elaboration on roles and responsibilities, please contact me directly.

In-Depth Engineering

Signal Processing Researcher 2019 – 2020

● Signal Processing, Data Analysis, and Image Analysis Developed signal processing and machine learning analyses of sonar data. Developed methods to identify and characterize signals in complex, noisy sonar data. Built large datasets for conducting research into develop, design, and implementation of complex signal processing solutions and for the development of advanced machine learning algorithms and techniques. Rapidly developed and implemented prototypes of algorithms.

● Writing Proposals

Wrote proposals as part of a team for SBIR grants. Washington University in St. Louis

Graduate Researcher 2014 – 2019

● Signal Processing & Data Analysis:

Developed & optimized algorithms to identify and analyze signals and patterns within complex, noisy experimental data; analyzed correlations between experimental data and extraneous variables. Developed & optimized signal processing algorithms for analysis of time-series data. Designed filters for the analysis of time series data. Developed & tested image processing algorithms and image localization algorithms. Skills: Programming: Matlab/Simulink, Python, R & Mathematica; Signal Processing; Algorithm Development; Time-Series Analysis Techniques; Stochastic Signal Analysis; Singular Spectrum Analysis; Wavelet Analysis; Filter Design;

● Modeling & Simulation:

Developed mathematical models and simulations to investigate the behavior of complex systems and guide experimentation – e.g. Implemented models & simulations of the propagation of soliton waves during action potentials, the dynamics or protein interaction networks, the dynamical behavior of mechanical systems, the interactions between quantum systems, and the time evolution of open quantum systems. Skills: Model Development, Implementation, & Validation; Simulations; Statistical Modeling

(Bayesian statistics, Monte Carlo methods, Markov models etc...); Biophysics & Systems Biology; Multiscale Modeling; Numerical Analysis; Dynamical Systems; Programming in Python, Matlab/Simulink, and Igor; Machine Learning;

● Design & Development of Scientific Instruments, Sensors, & Devices: Designed, constructed, & tested control systems for use in highly sensitive measurement devices. Engineered sensors to monitor environmental conditions. Developed data acquisition devices and image processing devices utilizing FPGAs. Design and development of imaging systems. Designed, constructed, and tested an ion mill for microfabrication of superconducting quantum circuits (supercooled Maneesh Jeyakumar - 3

RF/microwave circuits fabricated using superconducting materials). Designed and fabricated coplanar waveguides and investigated the use of novel dielectrics in these circuits. Skills: Experimental Design; Computer Aided Design (CAD); NI LabVIEW; Field Programmable Gate Arrays (FPGA); Prototyping; Sensors; Sensor Simulations; Analog Circuit Design; Microwave Office; Control Systems; Imaging Systems; High-precision Measurement Equipment

● Communication, Teamwork, and Project Management: Strategically planned, coordinated, and executed projects. Multi-disciplinary collaboration with colleges across different departments. Mentored and trained undergraduate students and new graduate students. Evaluated research reports and scientific literature. Communicated complex subjects in writing and in oral presentations. Wrote scientific articles, proposals, reports and briefings for experts and laymen. Skills: Strong learning aptitude, Critical thinking & problem solving; Precise and lucid written and verbal communication; Teamwork and collaboration SpectraServe, LLC. 2016 - 2017

Co-Founder

Co-founded a startup with the goal of developing a hyperspectral imaging system to detect the presence of cancer during surgery using patents awarded to the team by Boeing won in the Boeing Patent Challenge.

● Research & Development:

Led a project to develop a prototype of an imaging system and its software Skills: Design and development of imaging systems; Optoelectronic Sensors & Devices; Remote Sensing & Hyperspectral Image Analysis; Machine Learning – Deep Learning for Image Analysis

● Teamwork & Collaboration:

Worked together with co-founders from diverse backgrounds, Boeing executives, and the Skandalaris Center for Interdisciplinary Innovation and Entrepreneurship at Washington University in St. Louis. Aided in market research, financial management, and in strategy & business development.

● Written and Verbal Communication:

Regularly gave presentations during pitch events and communicated with prospective investors & customers and addressed their questions and concerns. East Carolina University

Undergraduate Researcher 2010 - 2013

Brody School of Medicine - Department of Physiology

● Biomedical research into the epigenetic inheritance of physiological changes induced by exercise. Analyzed sets of genomic data using the methods of biomedical statistics. Murashov, A. K., Pak, E. S., Koury, M., Ajmera, A., Jeyakumar, M., Parker, M., Williams, O., Ding, J., Walters, D., and Neufer, P. D. (2016) Paternal long-term exercise programs offspring for low energy expenditure and increased risk for obesity in mice. FASEB J 30, 775-784

Skills: Statistical analysis, PCA

Department of Physics

● Investigated the underlying physical mechanisms behind observations of excess heat generation during electrolysis.

Skills: Mathematical analysis of thermo-chemical systems. KILLS

Programming: Matlab/Simulink, R, Python, Mathematica Signal Processing, Algorithm Development, Image Processing, Analysis of Medical Image Data, Machine Learning, Neural Networks, Modeling & Simulation in Physics, Electronics, Biophysics and Systems Biology, Statistical/Mathematical modeling (Bayesian statistics, Monte Carlo methods, Markov models etc...), Optoelectronic Sensors, Software Prototyping, Experimental Design, AutoCAD, LabView Maneesh Jeyakumar - 4

HONORS AND AWARDS

1st place in the Boeing Patent Challenge 2016

Winner of entrepreneurship competition sponsored by Boeing. Led to the co-founding of a startup to develop medical devices using Boeing patents awarded to the team James Fenly Spear Jr. Award for Outstanding Scholarship in Physics 2013 Hughes Research Fellowship 2014

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