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By the time I graduated from Bits-Pilani(2012), I found that I enjoy building simplistic business solutions and improving systems using automation. With years of Industrial exposure, Curiosity and Simplicity led me, to develop a mixed set of skills related to Software Development, Unix System Admin Automation, Web & Analytical Data Products Development.

In next 5~7 year, I wish to myself as head of several R&D projects but I am currently looking for an opportunity in Software Engineering with more analytics and building Data Products.

Work History


Senior Software Engineer, Data Engineering Team

Castlight Health, Public Ltd.

In Data Engineering Team, we develop tools for Data Prepossessing jobs like Data Wrangling, Data Quality Validations and Data Warehousing. My roles is to develop & improve these Data Tools.


Unix Systems Lead - SOAK Team

Scope International Private Ltd.

In Shared Services Infrastructure Operations, my role was to develop and maintain Complete Unix Infrastructure System Monitoring Tools.


System Admin - Unix, Process Automation - Controls Team

Scope International Private Ltd.

In Global Unix Admin Team, my role was to understand & create basic infrastructure monitoring tools and maintaining single source of truth for all Unix Servers. 



Machine Learning Engineer Nanodegree (in progress)


Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence.

This program is to teach you how to become a machine learning engineer, and apply predictive models to massive data sets in fields like finance, healthcare, education, and other Source.

Student Data Science Profile Link.


M.Sc. (Tech) Information Systems

Birla Institute of Technology & Science, Pilani

M.Sc.Tech programmes are multi-disciplinary, technological in character and are designed to meet the requirements of newly emerging professional activities. While these programmes are also science and technology based, their requirements of mathematics, science, applied science etc. will be different from B.E. (Hons.) and M.Sc. (Hons.).

This program on Information Systems equips students with comprehensive skills on computer software and software engineering techniques, both at the conceptual and application levels. Source.


  • Technical: Python, Data Science, DB - Oracle/MySql, Oracle Application Builder, Django, Red Hat Linux, Bash
  • Data Science Tools: Numpy, Pandas, Sci-kit, Sklearn, Matplotlib, Seaborn.
  • Domain Knowledge: Banking, U.S. Health Care.
  • Work Framework: ITIL, Scrum - Agile & Kanban.
  • Data Science Competitions: DataDrivenKaggle.
  • Other: Code Refactoring, Code Reviewing, Documentation, Presentation, Mentoring.