Joshal Daftari Email & Phone Number
@locationlabs.com
2 phones found area 510
LinkedIn matched
Who is Joshal Daftari? Overview
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Joshal Daftari is listed as Software Engineer at Confluent, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at locationlabs.com, phone signal with area code 510, and a matched LinkedIn profile for Joshal Daftari.
Joshal Daftari previously worked as Senior Engineering Manager at Avast and Senior Software Engineer Team Lead at Avast. Joshal Daftari holds Master Of Science - Ms, Electrical & Computer Engineering from Uc San Diego.
Email format at Confluent
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AeroLeads found 2 current-domain work email signals for Joshal Daftari. Compare company email patterns before reaching out.
About Joshal Daftari
Hands-on engineering leader.I like to optimize, learn, and improve - ranging from my personal workflow by trying various (neo)vim, tmux, zsh plugins and using Rust-based alternatives for GNU utils to broader engineering processes by removing bottlenecks and empowering team to broaden perspective and take ownership.
Listed skills include Python, Linux, Shell Scripting, Java, and 36 others.
Joshal Daftari's current company
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Joshal Daftari work experience
A career timeline built from the work history available for this profile.
Senior Engineering Manager
Senior Software Engineer Team Lead
- Lead a team of local and remote engineers to accomplish several deliverables with aggressive deadlines⠀⠀⠀ * Reduce operational cost by 70% by migrating geocoding for all our apps from Bing Maps to Mapbox.⠀⠀⠀ * Pilot.
- Build fully automated CI/CD pipelines for containerized applications using Jenkins, Spinnaker, Kubernetes, Terraform, and AWS.
- Evaluate feasibility of Datadog in a company Hackathon, which has now become an integral part of our monitoring stack.
- Collaborate with product, design, and project teams to define high-level milestones and transform them into structured engineering tasks.
- Plan low-downtime cross-team feature releases and work with the Operations team to deploy and debug on production servers.
- Revamp our onboarding tutorials to use our latest tech stack, enabling new hires to contribute within the first week.
Software Engineer
- Transitioned our entire legacy stack to Ansible to reduce deployment times by 50% for all our parental controls products.
- Added backend support for processing Apple In-App purchase for our Family Locator iOS apps.
- Worked on a team that led API-first development effort and redesigned our backend monolith into microservice and event-driven architecture.
- Implemented several horizontally scalable microservices in Python Flask and Java Spring Boot deployed in Docker containers.
- Ensured product success and uptime by debugging customer issues and providing on-call production engineering support.
Senior Software Engineer In Test
Systems Engineer
- Automated periodic fetching, reporting, and parsing of logs generated at remote access points to provide a statistical insight on the overall system behavior.
- Developed a man-in-the-middle CLI tool to listen, filter, or drop messages between system components.
- Rectified and enhanced our messaging libraries to support end-to-end payload generation and verification.
- Accelerated the backend regression test cycles by 80% by creating a simulator for third party applications.
- Designed a REST client interface and XML data parser to facilitate debugging of our deliverable API.
- Built tools to generate real-time statistics and visualizations to monitor our pilot system of 150 devices.
Graduate Research Assistant
- mHealth Project
- Part of a multidisciplinary group working on research, modeling, and analysis of biometric sensor data.
- Developed a GUI for running data mining and signal processing algorithms and querying for patterns of well-being from heart-rate variability time-series. Designed an algorithm for finding synchronicity and causal.
- Formulated upper bound on the samples required to implement the method in real time with <5% error.
- Analyzed the accelerometer data to search specific events for classifying human gait and checking for gait symmetry.
- Made the tools portable to run on a backend engine for user physiological data analytics and visualization.
Teaching Assistant
TA to Prof. Robert Lugannani for the upper division course "Probability and Random Processes for Engineers"
Research Intern
- Cognitive Networking
- Implemented a machine learning technique to forecast the best configuration for a Wireless LAN system.
- Worked with a team to develop and test the probabilistic graphical model, Bayesian Networks, on an embedded device for real-time traffic prediction.
- Improved error performance, precision and throughput by 35%, 40% and 20% respectively.
- Extended goals to publish a paper for an international conference as well as a demo event and presented the project at university research exposition.Technologies used: Matlab, C, MySQL, Shell scripting, R
Research Volunteer
- Devised a decentralized strategy for network nodes to choose a Wi-Fi channel adaptively using a Markov Random Field and Maximum A Posteriori framework.
- Programmed the model for channel classification in Python using historical data to attain 95% accuracy.
Colleagues at Confluent
Other employees you can reach at confluent.io. View company contacts →
Lydia H.
Colleague at Confluent
Austin, Texas, United States, United States
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AR
Archana Rajavarapu
Colleague at Confluent
Bengaluru, Karnataka, India, India
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DF
Devin Ferguson
Colleague at Confluent
United States, United States
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YB
Yusuf Birader
Colleague at Confluent
Greater Leicester Area, United Kingdom
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NB
Nick Bargovic
Colleague at Confluent
Herndon, Virginia, United States, United States
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TS
Teresa Schnorr
Colleague at Confluent
Denver, Colorado, United States, United States
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CG
Curtis Galione
Colleague at Confluent
Greater Seattle Area, United States, United States
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BP
Bret Pienkosz
Colleague at Confluent
Raleigh, North Carolina, United States, United States
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KL
Kelly Lewis, Cwca
Colleague at Confluent
Raleigh, North Carolina, United States, United States
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LK
Liam Kirker
Colleague at Confluent
San Francisco Bay Area, United States, United States
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Joshal Daftari education
Master Of Science - Ms, Electrical & Computer Engineering
Bachelor Of Technology - Btech, Electronics And Communications Engineering
Frequently asked questions about Joshal Daftari
Quick answers generated from the profile data available on this page.
What company does Joshal Daftari work for?
Joshal Daftari works for Confluent.
What is Joshal Daftari's role at Confluent?
Joshal Daftari is listed as Software Engineer at Confluent.
What is Joshal Daftari's email address?
AeroLeads has found 2 work email signals at @locationlabs.com for Joshal Daftari at Confluent.
What is Joshal Daftari's phone number?
AeroLeads has found 2 phone signal(s) with area code 510 for Joshal Daftari at Confluent.
Where is Joshal Daftari based?
Joshal Daftari is based in San Francisco Bay Area, United States, United States while working with Confluent.
What companies has Joshal Daftari worked for?
Joshal Daftari has worked for Confluent, Avast, Location Labs By Avast, On-Ramp Wireless, Inc., and Uc San Diego.
Who are Joshal Daftari's colleagues at Confluent?
Joshal Daftari's colleagues at Confluent include Lydia H., Archana Rajavarapu, Devin Ferguson, Yusuf Birader, and Nick Bargovic.
How can I contact Joshal Daftari?
You can use AeroLeads to view verified contact signals for Joshal Daftari at Confluent, including work email, phone, and LinkedIn data when available.
What schools did Joshal Daftari attend?
Joshal Daftari holds Master Of Science - Ms, Electrical & Computer Engineering from Uc San Diego.
What skills is Joshal Daftari known for?
Joshal Daftari is listed with skills including Python, Linux, Shell Scripting, Java, Signal Processing, Matlab, Algorithms, and Machine Learning.
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