Balaji Sharma has over 10 years of experience in mechanical engineering, earning a BE, MS, and PhD focused on signal processing, experimental modal analysis, control theory, and distributed sensing and control systems. He has worked on projects involving automotive vibrations, distributed control of UAV swarms, and data analytics. Balaji is seeking R&D opportunities involving data analytics for distributed systems, spatio-temporal estimation, signal processing for hardware/sensors, and algorithms for connected vehicles and IoT.

1. balajirsharma@gmail.com
BALAJI SHARMA
PROFESSIONAL SUMMARY
(or why I humbly believe I can do good at your company)

2. BALAJI SHARMA balajirsharma@gmail.comBALAJI SHARMA balajirsharma@gmail.com
HELLO WORLD
1984 2006
BE, MECH. ENGG. >> datestr(now)
Wrote my first
piece of code
(only to realize world
domination needed other
skills)
2010 2013 2017
MS, MECH. ENGG.
PHD, MECH. ENGG.
ENTREPRENEURIAL LEAD, NSF I-CORPS
EDU TECHNICAL EVANGELIST, MATHWORKS
Developed my first
website
(Using Geocities, back
when Yahoo! was cool)
Joined Structural Dynamics
Research Lab, UCincinnati
(and spun clean puns around
shakers, vibrations and
excitations)
Joined Cooperative Distributed
Systems Lab, UCincinnati
(and discovered that robots made
for good conversationalists,
despite throwing tantrums)
Authored my first research paper
(and learnt a new language –
obfuscation academic jargon)
Selected for the
NSF I-Corps program
(stepped outside the
academic safety cocoon,
and into Silicon Valley for
product innovation)
Joined MathWorks (makers of MATLAB)
(the mothership called me home)
THESIS ON AUTOMOTIVE VIBRATIONS
Signal Processing, Experimental Modal Analysis,
Hydraulic Road Simulators, Sensors
DISSERTATION ON DISTRIBUTED SENSING/CONTROL
Multi-agent systems, Control Theory, Motion Tracking
Estimation methods, Multi-robot systems, Sensors
STRATEGIC TECHNICAL ENGAGEMENTS WITH HIGHER ED
Supporting Curriculum Development, Pedagogical Innovations,
Hardware for Project-based Learning, Conferences, Workshops
Discovered the joys of
working with large datasets
(serendipitously, to demonstrate
why Buffalo was cooler than
Albany, figuratively)
SEEKING R&D OPPORTUNITIES IN
data analytics for distributed systems,
spatio-temporal estimation and mapping,
signal processing for hardware systems and sensors,
algorithms for urban innovations (connected cars/IoT)
CAREER SUMMARY

3. BALAJI SHARMA balajirsharma@gmail.com
SKILLS
SCIENTIFIC COMPUTATIONS
Signal Processing
Experimental Modal Analysis
Control Theory
Distributed Control Systems
Principal Component Analysis
Hardware and Robotic Platforms
Kalman Filtering for Spatio-Temporal Estimation
Algorithm Development
Data Wrangling and Automation
Exploratory Data Analysis
Data Visualization
Technical Presentations and Dissemination
APPLICATIONS
Masters Thesis
Estimation methods for evaluation of vehicle structural dynamics
Doctoral Dissertation
Distributed Control algorithms for controlling UAV swarms for forest fire tracking
Low-dimensional methods for spatio-temporal estimation of fire growth
Experimental implementation with ground and aerial robotic platforms
Establishment of an experimental facility for multi-agent cooperative control algorithms
Software/Communication layers for communications between robots and remote PC
Professional Career
Data-driven methods for strategic customer segmentation and engagement
Content development for presentations and hands-on workshops at conferences
One-to-one technical engagements to help support innovations in pedagogy

4. BALAJI SHARMA balajirsharma@gmail.com
SKILLS
PROFICIENT INTERMEDIATE BASICS
DATA ANALYSIS, MATH MODELING, DATA VISUALIZATION MATLAB, MS EXCEL SIMULINK TABLEAU
WEB DEVELOPMENT
HTML, CSS,
WORDPRESS, GRAV
TWIG
DATABASES AND CRM TOOLS SIEBEL SALESFORCE SQL
HARDWARE SYSTEMS AND SENSORS
ACCELEROMETERS,
LOAD CELLS
HYDRAULIC ROAD
SIMULATORS
IMU, GPS
LASER RANGEFINDERS,
MOBILE SENSORS
COMMUNICATION PROTOCOLS
SERIAL/RS232. TCP/IP,
UDP, MAVLINK
NMEA

5. BALAJI SHARMA balajirsharma@gmail.com
IN A LIGHTER VEIN
I once took the train(s) across the US, coast to coast, to see how far I
could cover the US without stepping into an airplane or a car.
The journey was great, and after a week on wheels, even the frozen
burgers on the trains started tasting good.
The coffee, sadly, didn’t.
My research lab at grad school was three levels below surface. The
‘dungeon’, as we fondly called it, sheltered us from the worst of winters
and the best of summers, and all of humanity’s social distractions.
I would have graduated sooner if I weren’t too busy paying my Dews.