Full Stack Site Reliability Engineer Resume

SUMMARY:

Over 5 years’ experience in developing complex enterprise applications using Python/C++/Java/AngularJS/Octave/R
Excellent Track Record in delivering Highly Scalable and Efficient Multi - Threaded Applications
Demonstrated clear and thorough logical and analytical thinking, strong decision-making and problem-solving skills

TECHNICAL SKILLS:

GNU/C * GNU/C++ * R * C/Python * JavaScript * Angular * Git * Ruby * Go * Octave * Bash * Java * Node * MATLAB * MySQL / MSSQL / Oracle / Vertica / Infobright / PostgreSql / MongoDB * Eclipse / IntelliJ / PyCharm / RStudio * JSON / XML Django / RoR / Flask / Spring * SAS Miner / SAP Analytics / Tableau * Anaconda * Hadoop / Hive / Pig / MapReduce / Spark *

EXPERIENCE:

Full Stack Site Reliability Engineer

Confidential

Responsibilities:

Engineered ad-hoc statistical scripts/visual tools to automate the weekly server capacity optimizing server utilization.
Developed ML scripts to predict the incidents with 96% accuracy, 8 mins ahead thereby improving the efficiency of the LOBs production incident management on data-center to 250% using time-series incident data and services response time.
Facilitated with various cross functional teams in building in-house tools for smart Ops promoting operational excellence.
Composed custom scripts to update DNS records for network health checks with maximum reliability and traffic rerouting.
Performed capacity planning with automation to build large scale, highly available fault-tolerant systems catering >10k Tr/s.
Contributed to build TLS Proxy server scripts from scratch (currently into production environment), complying to PCI DSS.
Drafting and maintaining operational runbooks along with reviewing services’ performance to handle peak TPS.

ML Engineering Intern

Confidential

Responsibilities:

Parsed the data from collateral/financial documents and exposed the API as a microservice over Keras & Tensorflow
Designed and deployed plots using matplotlib and seaborn to plot real-time n-grams leveraging apriori algorithm by gathering data from multiple sources focusing on high-profit business. This was used across the LOBs senior leadership.
Contributed to the development of machine learning models in python and exposed it as Flask API
Developed the UI using AngularJS, Bower and Gulp stack to consume python and Java API endpoints over Postgres

Full Stack Data Engineering Intern

Confidential

Responsibilities:

Worked with service cloud team for design and implementation of foundational API (built on chassis framework - an in-house developed framework) to be used internally across various verticals of the firm.
Designed, Developed and Deployed RESTful API using AWS stack onto LOB’s VPC by following Agile methodologies.
Extensively used Jenkins/Chef in the CICD pipeline along with Docker and Terraform/CFTs in the deployment stack

Graduate Assistant

Confidential

Responsibilities:

Worked on project to optimize the existing multidimensional visualizations of machine learning engine.
Crawled unstructured textual data and mined social media using various python packages.
Summarized information in data intensive applications converting to JSON, visualizing it through D3.js

Data Scientist

Confidential

Responsibilities:

Forecasted the data based on various prediction algorithms and scrutinize the variances between them
Used various mathematical models between different data entities and find the correlation between them to figure out the dependencies and forecast the implications of one on the rest using R & MATLAB.
Collaborated with other teams to ensure integrated end-to-end design and integration of analytics

ETL Engineer, BI Analyst

Confidential

Responsibilities:

Designed and Script in Shell to automate the Daily Metadata Backup and Daily ETL-Reporting process
Developed and managed the BI dependency plan, DW lifecycle management and job scheduling
Forecasting the revenue at the game level by mining the big data accumulated from various third parties

Full Stack Engineer

Confidential

Responsibilities:

Designed the Adaptive Learning platform and building it. Discussed and assigned ranks/weights for large corpus of questionnaire.
Algorithm was a hybrid of Elo Rating system and random walk algorithm.
Designed and built an Online Judge which is an IDE that can compile C, C++ and Python 3 programs.
Handled real-time concurrency issues due to parallel accessing/manipulation of weights

Strategic Communications Analyst

Confidential

Responsibilities:

Gathered / synthesized research data to complete various projects as part of which implemented SQL queries and ETLs
Worked on Business Intelligence Tools by collaborating with cross-functional business teams, collecting, and analyzing large data related to firms’ external, internal communications and ORM
Contributed to data of Supply Chain Management and FMCG sales and collaborated with senior leadership to synthesize business processes and recommend efficient operating models

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