Tejesh Reddy Email & Phone Number
@asu.edu
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Who is Tejesh Reddy? Overview
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Tejesh Reddy is listed as Software Engineer at Abnormal AI, a with 1275 employees, based in Fort Collins, Colorado, United States. AeroLeads shows a work email signal at asu.edu and a matched LinkedIn profile for Tejesh Reddy.
Tejesh Reddy previously worked as Software Engineer at Hewlett Packard Enterprise and Software Engineer at Cvs Health. Tejesh Reddy holds Masters Of Science - Ms, Computer Science from Arizona State University.
Email format at Abnormal AI
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About Tejesh Reddy
I am a Computer Science graduate from Arizona State University with a strong passion for solving complex challenges and a background in open-source software development. With over 4 years of professional experience in full stack software engineering, backend development, and infrastructure engineering, I have successfully contributed to various projects and initiatives.Check my portfolio at: https://tejeshreddy.github.io/
Listed skills include Html, Python, Data Engineering, Programming, and 8 others.
Tejesh Reddy's current company
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Tejesh Reddy work experience
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Software Engineer
Current◦ Onprem Platform: Working on developing on-prem cloud applications and API services using Golang and Kubernetes.
Software Engineer
◦ ACAS Claims - RPA: Collaborated with cross-functional teams to develop a UiPath framework that automatically processes patient claims through business pipelines, resulting in a 30% reduction in processing time.◦ UiPath Orchestrator REST API: Implemented a RESTful service architecture to manage, deploy, and trigger multiple RPA robots, ensuring backward compatibility while simultaneously enhancing process automation efficiency.◦ Infrastructure Automation (Go, Docker, Ansible, Kubernetes): Implemented CI/CD infrastructure automation to facilitate a seamless deployment process to increase efficiency and reduce downtime.
Teaching Assistant
Teaching Assitant for Courses:CSE 259: Logic in Computer Science (Prof. Steven Osburn)CSE 355: Introduction to Theoretical Computer Science (Prof. Gennaro De Luca)
Graduate Research Assistant
Department: SEFCOM◦ FirmAE: Contributed to a fully-automated open source framework that is responsible for crawling firmware, emulations, and vulnerability analysis, significantly improving the emulation success rate and discovering new 0-day vulnerabilities impacting multiple devices. Retrieved 80k+ firmware images using firmae-crawler from 100+ hardware vendors.◦ Greenhouse: Assisted in a research project under the guidance of Dr. Ruoyu Wang which aims at finding vulnerabilities in binary firmware images when rehosted in a single-service Linux-based user-space emulation (QEMU).◦ Binwalk: Integrated binary analysis workflows to reverse engineer and analyze targeted threats on firmware images.
Student Tutor
Department: UASP• Tutoring undergraduate/graduate students in areas of computer science, programming, math, statistics, and SQL.
Software Engineer
Unbxd is an AI powered commerce search which creates a relevant and personalized user shopping experience◦ Python Catalog Pipelines: Developed and deployed several data pipelines to AWS EMR that facilitate catalog indexing and data ingestion to power e-commerce search for 200+ customers.◦ JS SDK Plugin(Search, AutoSuggest, Rex): Contributed to Unbxd opensource e-commerce search, typeahead, and recommendation plugin libraries developed using ReactJS and NodeJS. Which on integration with customer sites have improved sales by an average of 20%.◦ Named Entity Recognition: Made contributions in the development of intelligent product recommender systems using TensorFlow and Kubernetes to rank products based on NLP and statistical approaches.◦ Argo Workflow Triggers (GoLang, Kubernetes, Argo, Docker): Architected over 50 event-based workflow triggers for clients to schedule/invoke chron-enabled pipelines using RESTful Service/Dashboard.◦ Apache Mesos - Chronos (Docker, Python, Helm): Implemented a resilient catalog preprocessing system built on top of the Mesos cluster, featuring a master-slave architecture and server threshold checks. The system ensured continuous operation by re-electing leaders when the master encountered network or GC issues.◦ PyCoversion Library: Developed an internal Python library for making API calls to perform single, multipart, and delta uploads of various formats of data to ensure the customer catalog information remains up-to-date on catalog search clusters. The current version is published on PyPi as 0.5.0 (pyconversion).
Java Software Engineer
• Assisted the engineering department to develop a technical snag(mechanical error) consolidation software to avoid manual error while collecting mission-critical information• Designed and developed webpages for workflow management with an aim to achieve a faster and hassle-free allocation of task
Web Developer
Tejesh Reddy education
Masters Of Science - Ms, Computer Science
Bachelor Of Engineering - Be, Information Science And Engineering
Education record
Frequently asked questions about Tejesh Reddy
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What company does Tejesh Reddy work for?
Tejesh Reddy works for Abnormal AI.
What is Tejesh Reddy's role at Abnormal AI?
Tejesh Reddy is listed as Software Engineer at Abnormal AI.
What is Tejesh Reddy's email address?
AeroLeads has found 1 work email signal at @asu.edu for Tejesh Reddy at Abnormal AI.
Where is Tejesh Reddy based?
Tejesh Reddy is based in Fort Collins, Colorado, United States while working with Abnormal AI.
What companies has Tejesh Reddy worked for?
Tejesh Reddy has worked for Abnormal Ai, Hewlett Packard Enterprise, Cvs Health, Ira A. Fulton Schools Of Engineering At Arizona State University, and Arizona State University.
How can I contact Tejesh Reddy?
You can use AeroLeads to view verified contact signals for Tejesh Reddy at Abnormal AI, including work email, phone, and LinkedIn data when available.
What schools did Tejesh Reddy attend?
Tejesh Reddy holds Masters Of Science - Ms, Computer Science from Arizona State University.
What skills is Tejesh Reddy known for?
Tejesh Reddy is listed with skills including Html, Python, Data Engineering, Programming, Analytical Skills, Javascript, Pandas, and Data Science.
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