terminal
CHAITANYA_MALHOTRA FULL-STACK SYSTEMS ENGINEER
ONLINE
THEME:
FIG 1.0 // PROFILE

CHAITANYA
MALHOTRA

I build software across the entire stack — from VPU firmware and cycle-accurate emulators to ML model deployment and 3D web experiences.

>chaitanyamalhotra.com

>cm@chaitanyamalhotra.com

>github.com/bhoot1234567890

[ VIEW SELECTED WORK → ] [ GET IN TOUCH ]
FIG 1.1 // ABOUT
Chaitanya Malhotra

person ABOUT_OPERATOR

I'm a software engineer who gets equally excited by bare-metal firmware and polished web experiences. My work runs the full vertical — from the silicon (VPU firmware, cycle-accurate emulation, RTOS) up to the pixel (real-time 3D, ML model serving, full-stack apps). I care about the whole stack because the interesting problems live at the seams between layers.

Open to new opportunities — available immediately. [ cm@chaitanyamalhotra.com → ]
AI/ML // 3D GRAPHICS // EMBEDDED SYSTEMS // CAD TOOLS // FULL-STACK DEV // OPEN SOURCE //

// FEATURED_WORK

folder_data
FIG 3.0 // PROJECTS

// EXPERIENCE_LOG

settings

Software Engineer

Cactus Communication

December 2023 - September 2025

> CactusLabs:

NLP and Computer Vision solutions. Focus on exploratory tasks. Working with transformers (BERT, RoBERTa, MobileBERT) for text classification, similarity detection, and Xception for image classification. Deployed models on AWS Lambda and ECS.

> IMPACT: Shipped NLP/CV pipelines that processed thousands of documents monthly, reducing manual editorial review time by ~40%.

> CURRENTLY: Building independent projects — a cycle-accurate GBA emulator, bare-metal VPU suspend-to-RAM, and 3D web tools.

Full Stack Intern

Cactus Communication

August 2023 - December 2023

> CactusLabs:

Developed internal solutions using NLP (Spacy, NLTK) and pretrained models. Built full-stack applications with model deployment on AWS Lambda and Amazon ECS.

Machine Learning Intern

NVIDIA High-Performance Computing Lab

July 2019 - August 2019

> SSD MobileNet:

Object Detection using SSD MobileNet on COCO dataset. Retrained and deployed model on Jetson Nano for edge inference.

Summer Intern

Texas Instruments Centre for Embedded Product Design

June 2019 - July 2019

> Embedded System Design:

PCB designing and embedded system design. Software: Eagle, Proteus, Arduino IDE. Hardware: Arduino Uno, Raspberry Pi 3B+, ESP8266, ESP32, NodeMCU.

R&D Intern

Technoplanet Labs

September 2018 - February 2019

> STEM Education:

STEM education and robotics. Developed multiple projects using Arduino and Raspberry Pi.

// SKILL_MATRIX

memory
FIG 4.0 // SKILLS

code SKILL_MATRIX

// DAILY DRIVER:

Python TypeScript C++ C SQL

// PRODUCTION:

AWS Docker Three.js PyTorch PostgreSQL Next.js

// PROJECT-LEVEL:

ESP32 Zephyr RTOS KiCad Flask WebGL
description

RESUME AVAILABLE FOR DOWNLOAD

FULL CREDENTIALS AND EXPERIENCE

[ DOWNLOAD RESUME ] [ GITHUB PROFILE ]