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CHAITANYA_MALHOTRA ID: DEV-2026-RESUME
ONLINE
THEME:
FIG 1.0 // PROFILE

CHAITANYA
MALHOTRA

Building at the intersection of AI/ML, 3D Graphics, and Embedded Systems

>chaitanyamalhotra.com

>cm@chaitanyamalhotra.com

>github.com/bhoot1234567890

AI/ML // 3D GRAPHICS // EMBEDDED SYSTEMS // CAD TOOLS // FULL-STACK DEV // OPEN SOURCE // AVAILABLE FOR HIRE //
AI/ML // 3D GRAPHICS // EMBEDDED // AVAILABLE FOR HIRE //
FIG 1.5 // FOCUS

gps_fixed INTEREST_SECTORS

psychology

AI & Machine Learning

NLP, Computer Vision, Transformers, Edge AI, Mistral, BERT

view_in_ar

3D Graphics & CAD

Three.js, WebGL, 3D Visualization, DXF Processing, Moon Phases

memory

Embedded & IoT

MCUs, RTOS, PCB Design, Jetson Nano, ESP32/8266, Raspberry Pi

web

Full-Stack Web

Next.js, Flask, Docker, PostgreSQL, AWS, Cloud Deployment

FIG 2.0 // EDUCATION

school EDUCATION_LOG

Scaler Academy

2022 - 2023

Certification, Computer Science

Online

Manav Rachna International Institute of Research and Studies

2016 - 2020

Bachelors in Electronics and Communication Engineering

Faridabad, India

Delhi Public School, Dwarka

2002 - 2016

Delhi, India

// 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.

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.

// PROJECTS

folder_data
FIG 3.0 // PROJECTS
FIG 4.A // LANGUAGES

code LANGUAGES

Python
95%
JavaScript
90%
C++
85%
C
80%
TypeScript
82%
SQL
88%
HTML/CSS
92%
FIG 4.B // TECH_STACK

layers TECHNOLOGIES

AWS
85%
Three.js
75%
Flask
88%
PyTorch
78%
OpenCV
82%
Next.js
80%
Docker
75%
ESP32/Arduino
70%
description

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