CV

General Information

Full Name Hari Sharma
Languages English, Nepali, Hindi

Technical Skills

PROGRAMMING LANGUAGES Python | SQL | Bash | C++
DATA SCIENCE & MACHINE LEARNING Deep Learning/Neural Networks (TensorFlow | Keras | Image Processing with CNNs) | Unsupervised Learning (K-Means | Clustering | PCA) | Linear & Logistic Regression (Scikit-Learn) | Data Processing & Visualization (Pandas | Matplotlib | Altair | Seaborn) | REST API Development | Big Data with PySpark | Cloud computing with AWS
MOLECULAR MODELING CHEMINFORMATICS/STRUCTURAL BIOLOGY SOFTWARES GROMACS, AMBER, MOE, ROSETTA | VMD, PyMOL | RDKit
RESEARCH METHODS Molecular Dynamics Simulations, Docking, Comparative Modeling, Virtual High-throughput Screening
INDUSTRY KNOWLEDGE Computational Drug Discovery | Computational Molecular Modeling | Cheminformatics | Structural Biology

Education

Experience

  • OCT 2021 - Present
    Senior Scientist
    StemSynergy THERAPEUTICS INC.
    • Strategically led the computational part of molecular modeling, drug discovery, and structural biology. Leveraged state-of-the-art technologies.
    • Collaborated and transparently communicated results with colleagues from the chemistry and biology departments and stake holders. Custom-built LINUX computer clusters with GPUs and CPUs
    • Wrote a substantial amount of Python scripts to analyze huge volumes of data generated from molecular dynamics simulations. Conducted unsupervised machine learning algorithms using k-means clustering on a custom build cluster. Implemented the script so that 10M+ data points could efficiently be clustered into 14k+ clusters in less than 30 minutes
  • Sep 2019 - Sep 2021
    Postdoctoral Scholar
    VANDERBILT UNIVERSITY
    • Conducted individual research, actively working on multiple projects at the same time.Assisted colleagues with no prior experience in programming/LINUX environment
    • Learned all the fundamentals, terminologies, and C++ in a short period of time. Actively contributed to a codebase for protein modeling, specifically ensemble based ligand docking algorithm within ROSETTA software
    • Enabled rotating student to successfully complete a mini project with close supervision and mentorship. Enabled students to become comfortable with LINUX command lines in a few short months.
  • Aug 2012 - Aug 2019
    Graduate Research Assistant
    University of Connecticut
    • Administered and managed Linux computer cluster nodes, including open-source molecular modeling software suites.
    • Developed custom Python scripts that analyze large volumes of data generated from MD simulations
    • Designed and implemented an innovative algorithm utilizing Graph theory and matrix algebra that computed endpoints of dynamic data points within a flexible contour

Data Science Projects

  • April 2023 - May 2023
    review-keywords
    • Aspect based sentiment analysis of Nashville Restaurant reviews.

Honors and Awards

  • 2018
    • Doctoral Dissertation Fellowship, Spring 2018, University of Connecticut, CT, USA
  • 2017
    • Best presentation of the session COLL, paper 303, Aug 2017, 254th ACS National Meeting, Washington DC.
    • Travel Award, Canadian-American-Mexican (CAM) Graduate Student Physics Conference, Aug 2017, Washington D.C, American Physical Society
    • Excellence in Teaching Appreciation, Spring 2017, Office of Provost, University of Connecticut, CT, USA
  • 2016
    • Doctoral Student Travel Award, Spring 2016, University of Connecticut, Storrs, CT, USA.
  • 2015
    • CLAS Summer Fellowship, Summer 2015, University of Connecticut, Storrs, CT, USA
  • 2014
    • Excellence in Teaching Appreciation, 28th March 2014, Office of Provost, University of Connecticut, CT, USA
  • 2012
    • Anne and Winthrop Smith Fellowship, Fall 2012, Department of Physics, University of Connecticut, CT, USA

Interests

  • AI/ML.
    • Have deep interest on AI/ML and Big Data.
    • Implementing these technologies towards some meaningful applications.

Other Interests

  • Hobbies: Hiking, Camping, etc.