Ashutosh Malla profile photo 1 on Tal

Ashutosh Malla

GenAI | Agentic AI | Ex-Delhivery

Bengaluru

4+ years of work experience

Computer History Museum
Aug 20241 yr 5 mosDec 2025

Mountain View, CA

VOICEplug AI
Jun 20233 mosAug 2023

Palo Alto, California, United States

• Developed a voice ordering restaurant interface with admin dashboard for live status visibility for various restaurants such as Olga’s kitchen, Pied Piper Pizza, leading to smoother workflows during peak hours and improved system feedback in processing orders through AI supported voice assistant having its core foundation on NLP. • Completed the challenge of revamping the platform from a static to a real time event-based architecture using JavaScript and nodejs libraries such as Handlebars. Established multiple API endpoints for an enhanced access to the system’s core feature set in Nodejs and MySQL and socetio
University of San Francisco
Feb 20231 yr 4 mosMay 2024

San Francisco Bay Area

USF-mobile student developer - Worked on CampusM framework/library to manage codebase and roll out features for thousands of users. - Integrating third-party APIs and services such as Gym machines status into the core App to enhance its functionality and provide a better user experience. - Working closely with the management and dev team to find new chances for product innovation and development by identifying new opportunities for students and stakeholder feedback. - Utilising the strength of MERN tech stack to develop and and design the core features. - In sync with the latest guidelines and methodologies from W3 - Working on reliability and convinience features and providing those to students via central app.
MediBuddy
May 20223 mosJul 2022

Bengaluru

Delhivery
Oct 20201 yr 8 mosMay 2022

Delhi, India

- Incorporated Amazon's delivery APIs and compliance into the company's core codebase for the Last-Mile supply chain delivery service, ensuring that it met industry standards and laws. - Developed and maintained a high-performance Django backend architecture for the Last-Mile supply chain delivery service, which was in charge of handling billions of E2E network queries and delivering over a million items every day. Serverless, Angular, Kafka, Kinesis, Dynamo, and Firehose were used to create this architecture, which resulted in simpler workflows and increased productivity. - Collaborated with cross-functional teams such as AI and DataScience teams to identify bottlenecks in the company's supply chain delivery service and build solutions to improve efficiency and scalability. - Implemented serverless solutions in Nodejs and Django on Amazon to improve the productivity of the B2B and B2C services backend architecture. With efficient resource usage and intelligent log management, this resulted in a nearly 40% boost in efficiency and a projected 30% decrease in infrastructure expenses.
GitHub
@delta619

Ashutosh’s AI Stack

claude code
claude code
manus
manus

Education

University of San Francisco

Master of Science - MS, Computer Science

University of San Francisco

20222 yrs2024
University of Mumbai

Bachelor’s Degree, Information Technology

University of Mumbai

20154 yrs2019

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Headline

GenAI | Agentic AI | Ex-Delhivery

Location

Bengaluru

AI stack

claude code

manus

Work experience

Full Stack Engineer at Computer History Museum, Aug 2024 - Dec 2025 · 1 yr 5 mos, Mountain View, CA

Software Engineer Intern at VOICEplug AI, Jun 2023 - Aug 2023 · 3 mos, Palo Alto, California, United States, • Developed a voice ordering restaurant interface with admin dashboard for live status visibility for various restaurants such as Olga’s kitchen, Pied Piper Pizza, leading to smoother workflows during peak hours and improved system feedback in processing orders through AI supported voice assistant having its core foundation on NLP. • Completed the challenge of revamping the platform from a static to a real time event-based architecture using JavaScript and nodejs libraries such as Handlebars. Established multiple API endpoints for an enhanced access to the system’s core feature set in Nodejs and MySQL and socetio

USF - student developer at University of San Francisco, Feb 2023 - May 2024 · 1 yr 4 mos, San Francisco Bay Area, USF-mobile student developer - Worked on CampusM framework/library to manage codebase and roll out features for thousands of users. - Integrating third-party APIs and services such as Gym machines status into the core App to enhance its functionality and provide a better user experience. - Working closely with the management and dev team to find new chances for product innovation and development by identifying new opportunities for students and stakeholder feedback. - Utilising the strength of MERN tech stack to develop and and design the core features. - In sync with the latest guidelines and methodologies from W3 - Working on reliability and convinience features and providing those to students via central app.

Senior Software Engineer at MediBuddy, May 2022 - Jul 2022 · 3 mos, Bengaluru

Software Engineer - Last Mile at Delhivery, Oct 2020 - May 2022 · 1 yr 8 mos, Delhi, India, - Incorporated Amazon's delivery APIs and compliance into the company's core codebase for the Last-Mile supply chain delivery service, ensuring that it met industry standards and laws. - Developed and maintained a high-performance Django backend architecture for the Last-Mile supply chain delivery service, which was in charge of handling billions of E2E network queries and delivering over a million items every day. Serverless, Angular, Kafka, Kinesis, Dynamo, and Firehose were used to create this architecture, which resulted in simpler workflows and increased productivity. - Collaborated with cross-functional teams such as AI and DataScience teams to identify bottlenecks in the company's supply chain delivery service and build solutions to improve efficiency and scalability. - Implemented serverless solutions in Nodejs and Django on Amazon to improve the productivity of the B2B and B2C services backend architecture. With efficient resource usage and intelligent log management, this resulted in a nearly 40% boost in efficiency and a projected 30% decrease in infrastructure expenses.

Education

Master of Science - MS, Computer Science, University of San Francisco

Bachelor’s Degree, Information Technology, University of Mumbai

Public links

github: https://github.com/delta619