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Cloud Computing (Amazon Web Services)
Molecular Dynamics Simulation of Myoglobin with AMBER
Structural Biology Research
Bioinformatics Research: Structure based antigenic analysis
Bioinformatics Research: Modeling Dengue glycoprotein
Shell Scripting Bashkód
Algorithm Development: Semi-automated Homology Modellingfájl
Bioscience Research: XSoS(X-ray Solution Scattering)
Bioinformatics Research: Protein Structure Prediction
Project for Prabhakar G.
“Good work!”simonhuan234 1 hónapja
Medical report / Literature review on asbestos
“Good freelancer who is obviously very knowledgeable and a good writer in his second language (English). Did not deliver on time, and given the timeline this was stressful, and there were some issues with referencing. Notwithstanding this, I would work with him again.”AusEssay 3 hónapja
Project for Prabhakar G. -- 4
“done good job”Mohamed S. 6 hónapja
Doing Perl coding in bioinformatics
“very good and well known person. Although my project delivery was late, the quality is more than expectation”emadcho 7 hónapja
Move instances and volume in another region
“Great! Thanks!”Gauthjer 8 hónapja
Add a GPU on a AWS EC2 Server, but not of a conventional way
“He did a very amazing job! He showed me every detail, very patient and the result astonishing, amazing. I want to hire him again and again in the future. Thanks Prabhakar!”Gauthjer 8 hónapja
Computational Biologist/Data Scientist/Cloud ArchitectJun 2017
Design, Deploy and Administer cloud solutions(AWS) for Android Mobile apps. Design, Deploy and Administer cloud solutions(AWS) for Computational Biology Research. Develop Algorithm, Methodology and Source Code for performing Biological Data Analysis using R. Run Machine Learning Model predictions using R code to analyze Biological Data. Administer and Manage Data warehouse in the Cloud.
Data Scientist (Remote)May 2017 - Oct 2017 (5 months)
Work profile included IT, analytics, machine learning, product development and/or software consulting services and other responsibilities related to Data Scientist Consultant.
Database Lead (Remote)Aug 2016 - Apr 2017 (8 months)
Architecting the back-end of the healthcare database application. Data mining and automating procedures for creating, populating and updated databases. Creating the front-end of the database application.
Postdoctoral ResearcherApr 2015 - Sep 2015 (5 months)
o Develop and optimize programs and tools related to Bioinformatics o C Source code to compute pairwise similarity between rows of huge data matrices (Comparing Bioassay results of NCBI PubChem compounds for evaluating their activity)
Project AssistantJul 2007 - Jun 2008 (11 months)
Research AssistantJan 2006 - Jun 2007 (1 year)
My project dealt with predicting the structures of viral proteins using Homology Modeling methodology (Modeller, Accelry's InsightII), refining the models using molecular dynamics simulation (Amber9). I performed insilico immunological sudies based on structural bioinformatics approaches(Conformational Epitope Prediction), the predicted results were used in the wet lab for experimental design & evaluation.
Computer ProgrammerJul 2004 - Jun 2005 (11 months)
The objective of the Project is to develop software tools for simulating / engineering the Metabolic Pathways by using available full genome data, 3D- structural data of the proteins, metabolites, enzymes etc. As a member of Metabolic Pathway Engineering project I developed:
PhD2008 - 2014 (6 years)
M.Sc. Biophysics2002 - 2004 (2 years)
Post Graduate Diploma in Computer Applications2001 - 2002 (1 year)
B.Sc. Physics1998 - 2001 (3 years)
MBA2016 - 2018 (2 years)
Diploma in Computer Applications (2000)T.M.C. Computer Education, New Delhi, India
Basics Computer Skills MS Office Applications Managing images and data Internet Basics Working with Web design programs Desktop publishing Graphic design Spreadsheets and presentations Computer languages and programming
Diploma in Unix & C (2004)C.S.C. Computer Education, Chennai, India
Unix: Operating System, File Management, vi Editor, Shell Programming, System Administration - System Calls and Program Development. C: Data Types, Conditional Compilation, Arrays & Pointers, Structures & Unioins, Linked List, File Handling, Memory Management. C++: Function Prototypes, Encapsulation and abstraction of Data, Linear and Multiple - Polymorphism, File Handling Using Stream Classes, Stream and String Classes.
Integrated Analysis in Systems Biology (2015)Icahn School of Medicine at Mount Sinai (Coursera)
This course focused on developing integrative skills in systems biology through a set of directed reading and analysis of the current primary literature
Big Data Technology Fundamentals (2016)Amazon Web Services
AWS Training Module 1: Big Data Overview Module 2: Database Architecture Module 3: Hadoop and MapReduce Module 4: Hive and Pig Module 5: AWS and Big Data
Amazon Web Services - Learning and Implementing AWS Solutions (2017)Udemy (Dhruv Bais)
Introduction to AWS Elastic Cloud Compute - AWS EC2 Databases - AWS DynamoDB or RDB Amazon S3 - Simple Storage Service
AWS Certified Solution Architect (2017)Udemy (Ryan Kroonenburg)
AWS - 10,000 Feet Overview Identity Access Management (IAM) AWS Object Storage and CDN - S3, Glacier and CloudFront EC2 - The Backbone of AWS Route53 Databases on AWS VPC Application Services Kinesis The Real World - Creating a fault tolerant Word Press Site The Well Architected Framework
AWS Certified Developer Associate (2017)Udemy (Ryan Kroonenburg)
AWS Simple Storage Service (S3) Dynamo DB Simple Notification Service (SNS) Simple Queue Service (SQS) Simple Workflow Service (SWS) Elastic Beanstalk Route53 & DNS
Cloud Computing With Amazon Web Services (2017)Udemy
Create Virtual Servers in Cloud Configure Storage in Cloud Manage Users and Groups Monitoring and Notification Services Content Delivery Network Configure Highly Available and Scalable Infrastructure Bulk Email Solutions Database Solutions Highly Available DNS System and Virtual Private Cloud Continuous Integration and Deployment using Jenkins
AWS Essentials (2017)Linux Academy
Account Basics Identity & Access Management Virtual Private Cloud (VPC) Simple Storage Service (S3) Elastic Compute Cloud (EC2) Databases Simple Notification Service (SNS) CloudWatch Elastic Load Balancer (ELB) Auto Scaling Route 53 Lambda
AWS Concepts (2017)Linux Academy
Introduction to Core AWS Services AWS Global Infrastructure
R Basics - R Programming Language Introduction (2016)Udemy
Introduction Getting Started with Coding.
R Level 1 - Data Analytics with R (2017)Udemy
Theoretical background Creating objects Functions in R Loops Apply family Graphs in R Advanced topic: working with strings Using the R Commander GUI
Amazon Web Services - Learning and Implementing AWS (2017)Udemy
Elastic Cloud Compute - AWS EC2 Databases - AWS DynamoDB or RDB Amazon S3 - Simple Storage Service
Introduction to Deep Learning (2018)Amazon Web Services
This introductory course provides an overview of Deep Learning (DL) concepts. In the course, we discuss the AWS services available for DL and walk through a case study of an AWS customer who is innovating with DL.
Introduction to Machine Learning (2018)Amazon Web Services
This course introduces you to machine learning concepts and the role data plays. We explore use cases, discuss an innovative way to build smart applications, and review the AWS frameworks and services you can use for machine learning.
Machine Learning Terminology and Process (2018)Amazon Web Services
This course introduces you to basic machine learning concepts and the machine process the data goes through. We explore each step in the machine learning process in detail and explain some of the common terms and techniques that occur during a phase of a ML project.
Implicit vs. Explicit Solvent Models for Calculating X-ray Solution Scattering Curves
To investigate the effect of the implicit and explicit solvent models on the calculated scattering curves, we developed a new program, X-ray Solution Scattering (XSoS) based on implicit (XSoS-implicit) and explicit (XSoS-explicit) solvent models.
High-throughput instant quantification of protein expression and purity (PYP turn off/on label)
We demonstrated a new method based on the Photoactive yellow protein turn Off/On Label (POOL) system that can instantly quantify the concentration and purity of a target protein.
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