Amar Shah

Amar Shah Email and Phone Number

Technical Advisor @ Ikigai
Boston, MA, US
Amar Shah's Location
Boston, Massachusetts, United States, United States
Amar Shah's Contact Details

Amar Shah personal email

n/a
About Amar Shah

I’m a high energy, mission driven engineer with expertise leading teams in infrastructure and distributed computing. I surround myself with people who are extremely motivated and want to positively impact their products and communities.

Amar Shah's Current Company Details
Ikigai

Ikigai

View
Technical Advisor
Boston, MA, US
Website:
ikigailabs.io
Employees:
119
Amar Shah Work Experience Details
  • Ikigai
    Technical Advisor
    Ikigai
    Boston, Ma, Us
  • Ikigai
    Product Owner
    Ikigai May 2024 - Present
    San Francisco, California, Us
    Worked with Head of Product to gather requirements for Enterprise facing feature requirements.Built Product and Engineering Roadmap for infrastructure oriented features such as enterprise cloud deployment, scalability, and API integrations in customer clouds. Managed security risks and planned upcoming features to ensure infrastructure was compliant with latest security standards.Implemented above items directly with Engineering teams and tracked progress following Agile framework
  • Ikigai
    Director Of Engineering
    Ikigai Jan 2024 - Present
    San Francisco, California, Us
    Leading the Infrastructure and Platform Engineering teams at Ikigai. Working cross functionally across multiple orgs to build out robust, highly scalable services while maximizing resource efficiency.
  • Ikigai
    Software Engineering Manager
    Ikigai Jan 2023 - Jan 2024
    San Francisco, California, Us
    Managing a team of engineers scaling the platform to new levels.
  • Ikigai
    Software Engineering Team Lead
    Ikigai Aug 2021 - Jan 2023
    San Francisco, California, Us
    Leading a team of engineers focused on cloud architecture and infrastructure
  • Ikigai
    Software Engineer
    Ikigai Sep 2020 - Aug 2021
    San Francisco, California, Us
    Software Engineer focused on Infrastructure and Cloud Architecture
  • Traderunner
    Technical Advisor
    Traderunner Jan 2024 - Present
    • Provided technical mentorship and guidance in building and scaling the Traderunner Software as a Service platform geared to enable efficient hiring for HVAC & Plumbing businesses• Advised the bootstrapped startup on the architecture, code, design and overall software development life cycle.
  • Ibm
    Fullstack Engineer
    Ibm Aug 2019 - Aug 2020
    Armonk, New York, Ny, Us
    Full stack engineer with the Cloud Load Balancer as a Service (LBaaS) team and Virtual Private Cloud (VPC) Load Balancer team.Worked on the backend that interacts with large scale distributed systems broken into microservices written in Golang. Created features integrated with the service at the L4-L7 Networking levels. Built database migration tools for working with IBM DB2 and PostGreSQL
  • Cornell University
    Machine Learning (Cs4780) - Teaching Assistant
    Cornell University Aug 2018 - Jan 2019
    Ithaca, Ny, Us
    Held office hours to answer student’s questions on topics like SVMs, Random Forest, Neural Networks, Gaussian Processes Helped write and grade homework assignments, group projects and exams. Taught small study groups of 15-20 people for 2 hours a week
  • Cornell University
    Undergraduate Research Assistant
    Cornell University Nov 2017 - Dec 2018
    Ithaca, Ny, Us
    Worked under the mentorship of Dr. Krishnamurthy IyerModeled digital marketplace auctions with shared common values in Python 
Simulated auctions as a Markov Chain to learn optimal bid prices over 10,000 iterations 
Based on past learning patterns, improved bidding practices for a given agent in the marketplace
  • Itg
    Summer Technology Analyst
    Itg Jun 2018 - Aug 2018
    New York, Ny, Us
    • Created a price prediction model using historical stock prices, real-time volatility, and a feed forward neural network architecture • Built a data processing procedure to parse, clean, and analyze client orders using Python Pandas and SQL databases (100 million rows of data/day)• Conducted trend analysis to identify inefficiencies and generate more effective order strategies • Visualized patterns and outliers in the collected data in a client-friendly web-portal using CGI-Perl
  • Mit Lincoln Laboratory
    Summer Research Intern
    Mit Lincoln Laboratory Jun 2017 - Aug 2017
    Lexington, Ma, Us
    Researched, analyzed, and implemented large scale (10^7 edge) graph processing algorithms using Monte Carlo Markov Chain and the stochastic block model to partition nodes into distinct cluster. This processing framework was written in Julia and scaled up to very large graphs and optimized run time and data structures implementation.

Amar Shah Skills

Microsoft Office Public Speaking Leadership Python Java Research Data Analysis

Amar Shah Education Details

  • Cornell University
    Cornell University
    Computer Software Engineering
  • Green Valley High School
    Green Valley High School
    International Baccalaureate Diploma

Frequently Asked Questions about Amar Shah

What company does Amar Shah work for?

Amar Shah works for Ikigai

What is Amar Shah's role at the current company?

Amar Shah's current role is Technical Advisor.

What is Amar Shah's email address?

Amar Shah's email address is am****@****ibm.com

What schools did Amar Shah attend?

Amar Shah attended Cornell University, Green Valley High School.

What skills is Amar Shah known for?

Amar Shah has skills like Microsoft Office, Public Speaking, Leadership, Python, Java, Research, Data Analysis.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.