Migrated database from MySQL to ElasticSearch/MongoDB, upgraded php based framework into Python-Django/AngularJS/Bootstrap, managed deployment on Rackspace, improved webpage UI, used Python Imaging Library to work with dataset of photographs. Overall, made significant enhancements to their product TakeZero**, resulting in a gain of several new clients.

**TakeZero is a platform for performing artists like models, actors and singers to showcase themselves, discover job opportunities and get connected to the industry.

Product Engineering & Data Science Intern

I setup collaborations with globally placed teams and co-authored initial draft titled "TrueChain: Highly Performant Decentralized Public Ledger" (link attached) & a patent filed with USPTO. (Application Number: 16/517,479 claiming continuity of 62/701,559)

- Completed ground work for blockchain: select a base (fork of ethereum), sift through existing whitepapers, implement the research paper, seek peer reviews in various fields (Security, Scalability, Devops, Performance, Algorithms, Token Economy, Cryptography & Design).
- Orchestrated community of distributed systems developers/researchers from MIT, NYU, UC Berkeley; and FOSS enthusiasts from major companies like Google, Red Hat and VM Ware. 
- Outlined engineering roadmap and included programming paradigms that countered language disparity amongst devlopers who didn't speak a common tongue (English).
- Demonstrated compliance license technical detail checks with officials from Ministry of IT, China.
- Delivered talks, conducted wo

Consensus R&D lead | Head of Engineering

Completed this summer internship during Junior year. Harnessed system configuration / logs
for building data analysis & visualization tools and also worked on an in-house graph-based search tool using Natural Language Processing.

Intern, Software Engineering Team

Worked on R&D experiments like Latency Analysis with Native v/s Threaded Block I/O events, RH Satellite Performance tuning at scale and proactive issue detection using SAR data. Ran MariaDB database regression tests with sysbench for various RHEL kernels and carried out performance benchmarking on different OS configurations (pbench / sysbench / fio / perf tools). Co-authored industrial white paper on product scalability and contributed to open source:- perf tools & automation, time series data processing tools, containerized applications and data visualization enhancements to existing solutions like Grafana.

Contribution to various sub projects under the umbrella department of Distributed Systems Analysis @ Red Hat Performance Engineering.

- https://github.com/distributed-system-analysis/pbench
- https://github.com/distributed-system-analysis/multivm_db_bench
- https://github.com/distributed-system-analysis/es-graphite-shim
- https://github.com/distributed-system-analysis/sarjitsu



Associate Performance Engineer

Lead a cross-functional collaborative team for distributed systems scale experiments, deriving insights from data generated by monitoring pipelines [Telemetry, Logs, Configs]. An overarching effort involving knowledge-base driven recommendations for feature-focused build issues, customer cases, infrastructure planning and a recent effort around predictive modeling over performance data.

Roles: 
- Open-sourced tools for workloads, middlewares and ansible scripts for infrastructure orchestration around Cloudforms (a hybrid cloud platform), when it is connected to cloud computing infra (AWS, Openshift, Openstack, RHV, vSphere).  
- Software development around performance tools (Python / JS / Shell)
- Automation and containerization (Docker / Ansible).
- Data visualization (ELK / Grafana / PostgreSQL)

Infrastructure sysadmin for:
-  RHVM clusters to host cfme appliances and small scale OSP / OCP clusters
-  periodical Cloudforms scale engineering efforts
- Build to Build efforts for new 

Software/Performance Engineer | R&D

I contributed to their web framework (Python-Flask) that powers CDS (Document Server), which stores research publications, videos and all the content generated at CERN Labs. https://cds.cern.ch/?ln=en

My work there was to interact with the WWW grid in SQL language and enhance personal collections while also leveraging Elasticsearch for information retrieval and Redis for caching.

Also, took part in the annual webfest (CERN's version of a hackathon) and was awarded best in visualisation/data analysis category for visualising contributions through millions of  documents published over past 30 years

Openlab Summer Student

To diagnose diabetic retinopathy and subset of diseases identifiable from high-res retinal scans, designed and developed:

- A scalable, secure and monitored infrastructure with an automated deployment pipeline. (Kubernetes on GCP with Load Balancing, Monitoring, Firewall, Cloud Build and Container Repository management solutions) 
- Python-Flask based minimalist scaffolding that generated inference codebase for Deep Learning models.
- Assisted ML team with implementations of image segmentation and classification algorithms.

Offered as an API, an end to end product as well as independent microservices corroborating different diagnosis algorithms. http://rayd8.io/

Chief Software Architect | Head of Engineering

Ported Ubuntu 12.04 onto BeagleBoard xM and Raspberry Pi. Configured GUI, wireless and bluetooth drivers. Both of these are open ARM based computers running GNU/Linux.

Developer

<p>Delivered decentralized network reliability and performance for https://casper.network blockchain protocol throughout its progress at various stages from alpha to private and public beta releases involving external node validators which grew from 5,10, 20.. right up to ~100 unique stakeholders/validators, close to a stable mainnet launch.

Defined and debugged observability indicators in close coordination with core engineering teams; Metrics visualised on grafana.

Production Lead handoffs (in a team of 3 spread across US, Europe and Asia). Alerts, logging and monitoring via ELK stack, prometheus, grafana, slack and alert-manager. 

Week-long workloads for Scala and Rust based software on global AWS clusters. 

Infra as code ideology: coded the framework to launch automated testbeds provisioned via terraform and ansible; artifacts managed via drone CI, launched over rundeck and released on GitHub (migrated from Jfrog Bintray). Supports self-service iterations for developers to test co</p>

Site Reliability Engineer

Checkout and signup for demo here https://kurv.tech/

Founder

Tinkerer of things

Know about Archit Sharma's work experience, education, and much more. Archit Sharma