Piyush Kansal

CEO

Bengaluru, Karnataka, India4 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Co-founded a successful AI-native software delivery company.
Scaled consumer application to over 50K MAUs in one year.
Published a tier A paper on algorithmic fairness in machine learning.

Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI-driven solutions.

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Skills

Core Skills

Full Stack DevelopmentProduct Management

Other Skills

AWSAmazon DynamoDBAmazon Web Services (AWS)Apache ImpalaApache SolrBig DataC (Programming Language)C++Computer NetworkingComputer VisionData VisualizationDjango REST FrameworkDynamoDBEmbedded SoftwareEmbedded Software Programming

About

I am an alumnus of IIT Delhi with a background in AI research and experience of building greenfield technology at multiple startups, some of which became over $50M+ companies. Currently building towards the mission of disrupting legacy IT services with an AI-native software delivery company, The Product Highway (TPH). The future of software development is headed towards a collaboration of deep product thinkers and AI-native workflows sitting on a platform. With this bet, TPH is productising the operational infrastructure needed for software delivery and runs managed-outcome services on top of it. Within the first year of launch, TPH crossed $1M ARR and locked multiple 6-figure deals with enterprises across US, EMEA, and, SEA trusting us with their key business initiatives. For our customers, we are already cutting down software development costs by 4x and building advanced AI applications across Automotive, Manufacturing, and Retail. Our internal platform, NUMA, is the sum total of our learnings from the services business helping product teams think, document, and plan the downstream execution, an AI-native replacement for the productivity stack. With both our customers and the team, we believe in total commitment, giving everything we have and expecting the same intensity in return. Hence, we only engage for the long term on problems that matter the most, owning the outcomes rather than just the inputs. If you need a partner on your journey from concept to launch, we'd be glad to hear you out.

Experience

4 yrs 8 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

The product highway

Co-Founder & CEO

Aug 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Electricpe

Tech, Product, and Partnerships

Nov 2022 – Jul 2024 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

With my experience in full stack software development, data analytics, machine learning research, business development, and product management, I worked on end to end life cycle of our products. The tech stack included Java/Kotlin, Python, Flutter, Dynamo DB, Mongo DB, Apache Solr, Redis, AWS, and Git. I lead the metamorphosis of our codebase from Java to Kotlin, database from MongoDB to DynamoDB, and architecture from Monolith to Microservices. In tandem, helped us transform into an aggregation-first company in the EV industry, with 50+ charging networks onboarded and the launch of our Charger Management System for individuals and businesses alike. In a short duration of 1 year, we had scaled our consumer application to over 50K+ MAUs.
As a founding member at ElectricPe, I lead the development and growth across multiple product lines building the tech for India's EV revolution.

JavaKotlinPythonFlutterDynamoDBMongoDB+6

Myclassroom

Software Engineer - Backend

Mar 2022 – Nov 2022 · 8 mos · Noida, Uttar Pradesh, India

At Myclassroom, I served as a backend engineer, owning the backend for mobile and web applications across the organization. Additionally, built a "Content Development System" (CDS) consisting of Ingestion, Digitization, and Verification Modules. CDS is an end-to-end automated solution for digitizing, storing, and retrieving complex STEM content from offline to online use.

Mastercard

Software Engineer - Machine Learning

Jul 2021 – Feb 2022 · 7 mos · Gurugram, Haryana, India

During my tenure at Mastercard, I worked as a Software Engineer focused on Machine Learning. My work in the study of algorithmic fairness in Graph Neural Networks led to the publication of a tier A paper at PAKDD 2022. Additionally, I was the developer of the "Merchant Chargeback Risk/GDV" product line under Mastercard's Acquirer Risk Management Solutions. This is a multi-million USD product offered by Mastercard to banks in Europe and US.

Grand dairy tech

Software Engineer - Embedded Systems

Oct 2020 – May 2021 · 7 mos · Patiala, Punjab, India

Solving the problem of "Automatic Heat Detection" for cows, I developed the firmwares over FreeRTOS and MBED OS running on off the shelf hardware (STM MCUs, LoRa) to showcase heat detection capabilities. We were able to win multiple grants based on our PoC prototypes.