SUMMARY

• 7+ years of experience as a Software Developer and coding with analytical programming using Python, XML, CSS, HTML5/CSS3, AngularJS, DHTML, JavaScript and JQuery.
• Experienced in WAMP (Windows, Apache, MYSQL, Python/PHP) and LAMP (Linux, Apache, MySQL, Python/PHP) Architecture.
• Good experience in chef development and rolling software packages via chef
• Good experience in developing web applications implementing React.
• Experienced in LAMP (Linux, Apache, MySQL, and Python/PHP) Architecture.
• Experience in software designing, version controlling and launching to production environment
• Experience in object - oriented programming (OOP) concepts using Python
• Excellent experience with Python development under Linux OS (Debian, Ubuntu, SUSE Linux, RedHat Linux, Fedora).
• Experience in supervised and unsupervised learning algorithms
• Experience in Machine learningwith large datasets of structured and unstructured data, Predictive modelling, Dataanalysis, Dataacquisition, Datavalidation and Datavisualization.
• Proficient in Machine Learning in modeling, regression, clustering, classification though Python & R.
• Hands-on experience with algorithms such as Regression Analysis, Clustering, Boosting, Classification, Principal Component Analysis and DataVisualization Tools.
• Experience in Machine Learningalgorithms such as Neural networks, graph learning, CNN, Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, K-Means Clustering and Association Rules.
• Experience in Natural Language Processing, Convolution Neural networks
• Experienced in developing web-based applications using Python, JavaScript.
• Experience with Presto, spark, Python
• Experience with v-model designing, involved in the Integration, Test, Verification stage Proficient in all cycles of test life cycle from test planning to defect tracking and managing defect lifecycle.
• Deployed project into Amazon web services (AWS) using amazon elastic bean stalk
• Good knowledge of web services with protocols SOAP and REST.
• Expertise in designing, developing middleware components for software in multithreading, data structures and design patterns.
• Experience with Unit testing/ Test driven Development (TDD) and Load Testing.
• Strong understanding of Agile and Scrum Software Development Life Cycle Methodologies.
• Experienced in working on Application Servers like WebSphere, WebLogic, Tomcat, Web Servers like Apache server, NGINX and Integrated Development Environments like PyCharm, Eclipse, MyEclipse, JDeveloper and RAD. Strong proficiency in version control systems like SVN, Git.
• Proficient in SQL databases MS SQL, MySQL, Oracle and no-SQL databases MongoDB and Cassandra.
• Effective in executing multiple tasks and assignments ahead of schedule. Created and maintained effective budgets.
• Highly motivated, result oriented professional with a short learning curve and strong communication skills.
• Experience in applying predictive modeling and Machine Learningalgorithms for analytical reports.

TECHNICAL SKILLS

Languages: Python 3.6,3.3, 2.7/2.4, C++, Java, Shell Script, Perl, SQL

Machine Learning: Artificial Neural Network, Convolution Neural Network Bayesian Network/BBN, Linear Regression, Logistic Regression, Decisions Tree, Elastic-net regularized generalized linear models (built in R), k-NN, SVM, SVDK Clustering, Page Rank and PCA, MCA, MFC, Apriori and other data mining and Deep Learning Algorithms, Social Media Analytics, Sentimental analysis, Market Base Analysis, Bagging, Boosting.

Tools: VSCode, Pytorch, anaconda

Databases: MySQL 5.1, SQL Server 2008, Oracle 10g, Siebel

Versioning Tools: GIT

IDE: Eclipse, VScode, PyCharm, RAD

Web servers: Apache, IIS

Debugging tools: Selenium, IDE

NO SQL: MongoDB, Cassandra

Cloud Technologies: VMWARE, AWS, AWS EC2

Operating systems: Linux/Unix, Windows NT/2000/XP/2003/Vista, Mac OSX

PROFESSIONAL EXPERIENCE

Confidential

Sr. Devops Engineer

Responsibilities:

• Developed and built auto-scaling Kubernetes architecture to deploy machine learning pods
• Built drone pipeline and integrated with git to build and deploy images on customer edge device
• Enabled Kibana logging for all pods, to log all pods across all fleet
• Built Machine learning algorithm that detects food items and deploy images based on node selector
• Extensive experience in python for building food detection docker images
• Integrate git with drone to build images for CI/CD
• Refactor and modularize code to accommodate any future yolo ML models

Environment: - GIT, Azure, Kubernetes, ACI, Drone, graphql, Python, Docker, circle ci, shiftleft

Confidential, Austin, TX

Sr. Python Developer

Responsibilities:

• Responsible for architecting, designing, implementing, and supporting of cloud-based infrastructure and its solutions.
• Involved in developing software tools to diagnose network health more efficiently
• Developed a supervised machine learning model to help detect the failure cause for all network asset failures across fleet
• Exposure on Multi-Threading factory to distribute learning process using python
• Performed data pre-processing to clean, eliminate outliers in data and conducted data exploration to detect correlation, trends and patterns in the data
• Generated data visualizations of state wise machine learning statistics and network performance using Python libraries and Presto
• Led several machine learning initiatives involving the design, development and deployment of advanced machine learning algorithms
• Wrote Python routines to log into the websites and fetch data for selected options also used Python modules such as requests, urllib, urllib2 for web crawling.
• AWS Kinesis Streams, AWS Step Functions (Serverless) Pipelines, AWS Kinesis Streams, Google TensorFlow, AWS Step Functions (Serverless) Pipelines, AWS Kinesis Streams, AWS Kinesis Streams Data Analytics Streaming SQL (AWS EKS) Pipelines.
• Created many workflows to enable network configuration using Python across Fb fleet
• Developed a software package to automate the process of network ticket creation and auto-closure upon periodic checks
• Built an NLP machine learning model to categorize the server failure in FB fleet and improved the production accuracy from 35% to 98%
• Responsible for maintaining and expanding (Cloud Services) infrastructure using FB internal tools
• Implementing REST API's in Python using micro-framework like Flask with SQL Alchemy in the backend for management of data center resources on which Open Stack would be deployed.
• Managed and reviewed Hadoop log file and worked in analyzing SQL scripts and designed the solution for the process using PySpark.
• Created EC2 instances and implemented large multi node Hadoop clusters in AWS cloud from scratch using automated scripts such as terraform.
• Collaborated with Ads team to generate node-embedding for business/organization graph connection to build targeted advertising.
• Responsible for delivering datasets from Snowflake to One Lake Data Warehouse and built CI/CD pipeline using Jenkins and AWS lambda and Importing data from DynamoDB to Redshift in Batches using Amazon Batch using TWS scheduler.
• Created Data swarm pipelines to prepare data for Graph learning that empowered the predictions as per user recommendations
• Created a PoC for deploying chef on console servers to automate the process of configuration consistency and software upgrade across fleet

Environment: Python 3.6/2.7,Pytorch, VSCode, C++, Presto, Machine learning, Linux, AWS, Shell Scripting.

Confidential, LA, California

Sr. Python Developer

Responsibilities:

• Migrated platform from physical server to virtual environment. Took it from development into production by wiring up a Nginx stack.
• Developed Python Script for monitoring network health for Confidential campus
• Experience in Amazon Web Services (AWS) Cloud services such as EC2, EBS, S3, VPC, Cloud Watch
• Written Python Scripts for loading data from CSV files into the database tables.
• Documented tasks in Confluence and related them to the JIRA tickets.
• Extensive experience in usingPython /Perl to code and design various phases for data processing pipeline
• Experience working with version control systems such as Git and Apache SVN for maintaining a consistent state throughout the application development process.
• Hands on Experience in AWS like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS.
• Followed the best practice of Python such as PEP-8.
• Developed Python scripts to execute Stored Procedures and load data from various forms of csv files into staging tables in SQL Server database.

Environment: Python 3.3, AWS, Flask, Java Script, Matplotlib, HTML, RESTful API, Angular JS, JQuery, JSON, AJAX, XML, CSS, Oracle 10G, SQL, MySQL, Bootstrap, Restful Web Services, Beautiful Soup, Jenkins, GitHub, SVN, Linux, PyCharm.

Confidential

Python Developer / Network Engineer

Responsibilities:

• Experienced in Integration, configuration and maintenance of Confidential Router, Catalyst Switches and Firewalls.
• I configured RIP, OSPF, EIGRP and Static routing on Confidential routers and switches.
• I am responsible for routing, VPN on ASA 5505, switching on Nexus 2000, Nexus 5000 and juniper switches.
• I set up the storage for product testing for team with different networking requirements.
• Working on VMs and troubleshooting different problems occurrences with VMs.
• Worked on checkpoint firewall.
• Managing and configuring Aruba Wireless devices and Confidential Access Points.
• Provide software, design recommendations and enhance network performance - Represented Confidential for New Technology Introduction (NTI)-cBR8 to help improve their bandwidth 4 times for a Telco in Sydney - Validated WLC features for an IT MNC and ensured for a stable production - Slashed administrative costs by more than 40% by designing and validating the Data Center-AGG core network in collaboration with RTP - Lead hardware migration validation for a financial customer to improve overall network latency by creating test-plans and MOP s - Lead migration activity in Sydney/Brisbane to boost network bandwidth and reduce congestion for more than 100,000 customers for a Telco
• Managed internal DNS MS and external DNS/DHCP Infoblox, F5 load-balance administration inclusive of generating SSL certs in tandem with HP
• Experience implementing Confidential Nexus, Arista, Cumulus Linux, Palo Alto / Checkpoint, F5 LTM, Confidential VPN solutions
• Design, implement, and provide ongoing support of Visa’s data center LAN infrastructure using various platforms such as Confidential, Arista, and Cumulus Linux
• In corporate Confidential Nexus 9000 NXOS to ACI fabric to work in concert with existing Nexus 7000s and ASRs for Multi-Protocol Label Switching (MPLS).
• Test and implement Confidential ACI based network infrastructure as Open stack underlay network.
• Manage over large network devices, including over 20 Fortinet FortiGate firewalls from 200b to 3040b's, Confidential ASA and FWSM's, Nokia Checkpoints, Confidential switches, Nexus 5k's and 7k's, 9K’s Confidential ASR 1000's, multiple Confidential UCS's and Fabric Interconnects, and SSL VPN's.
• Continuous monitoring of FortiGate firewalls installed in more than 2000 franchise stores in various location across the globe using a monitoring tool called IP-monitor.
• Administrative experience with vSphere via vCenter to 6.0

Environment: Python, Git, CVS, GitHub, MySQL, Zope, Flash, PyUnit,, Linux, Git,, Windows, Linux, Neetworking, pyats