Niraj Khankari — Co-Founder

Bachelor of Technology (B.Tech) in Robotics and Automation Engineering with an interest in Artificial Intelligence (AI), Machine Learning (ML), and real-time systems. My journey in tech has been largely driven by curiosity, hands-on learning, and a strong desire to apply knowledge in impactful ways. 🛰️ I co-founded and lead Team Antariiksh, a student-led initiative focused on space and defense technology, where I head the Avionics department. This role has helped me develop non technical acumen - leadership, mentoring, and team-building skills. 💼 I also completed an internship at Infosys Springboard, where I worked on an Autonomous Driving project using YOLOv11m and YOLOv11s for real-time object and lane detection—further strengthening my skills in AI and deep learning applications. 🤖 I’ve worked on diverse projects including: - A Robotic Prosthetic Hand integrated with Arduino & ROS 2 - Image-based Classification Models with CNNs 🛠️ Along the way, I’ve explored tools & softwares like Python, OpenCV, TensorFlow, Keras, Sci-kit Learn, ROS 2 (Basic), MATLAB, AutoCAD, Minitab, Eagle, RoboAnalyzer, Mech Analyzer and more. I enjoy blending creativity with technology—whether it’s through Robotics, Automation, AI, or volunteering in community-based initiatives. 📚 Beyond academics, I actively contribute to workshops, research conferences, and social events, and recently had my paper on prosthetic hand control with ROS 2 accepted in a Scopus-indexed journal (Journal of Advancements in Robotics). I'm always open to learning new things, collaborating on innovative ideas, and making a real-world impact through engineering.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on automation and machine learning.

Location: Nashik, Maharashtra, India

Experience: 6 mos

Skills

Artificial Intelligence
Machine Learning
Team Leadership
Deep Learning

Career Highlights

Co-founded a team focused on space technology.
Developed an AI-based Autonomous Driving System.
Published research on prosthetic hand control.

Work Experience

Enginow

AI-ML Training Program (0 mo)

Internshala

Internshala Student Partner (ISP) (1 mo)

ServiceNow

Intern (1 mo)

CODEXINTERN

AI-ML Intern (1 mo)

Labmentix

AI-ML Intern (1 mo)

Edunet Foundation

Frontend Web Development Intern (1 mo)

Mosdorfer GmbH

Project Intern (7 mos)

Infosys Springboard

Artificial Intelligence Intern (2 mos)

Team Antariiksh

Co-Founder & Team Lead (2 yrs 8 mos)

Education

Bachelor of Technology - BTech at K K Wagh Institute of Engineering Education and Research

Science at H.P.T. ARTS and R.Y.K. SCIENCE COLLEGE

High School at St. Francis High School

Niraj Khankari

Co-Founder

Nashik, Maharashtra, India6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Co-founded a team focused on space technology.
Developed an AI-based Autonomous Driving System.
Published research on prosthetic hand control.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on automation and machine learning.

Contact

Skills

Core Skills

Artificial IntelligenceMachine LearningTeam LeadershipDeep Learning

Other Skills

3D PrintingAI Augmented ProgrammingAcademicsAlternative EnergyArduinoUnoArtificial Intelligence (AI)AutomationCapital MarketsCircuit Simulation on Matlab SimulinkCommunicationControl Design on Matlab SimulinkConvolutional Neural Networks (CNN)Critical ThinkingData AnalysisData Preprocessing

About

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Enginow

AI-ML Training Program

Dec 2025 – Dec 2025 · 0 mo · India · Remote

Artificial IntelligenceMachine Learning

Internshala

Internshala Student Partner (ISP)

Oct 2025 – Nov 2025 · 1 mo · India · Remote

Servicenow

Intern

Oct 2025 – Nov 2025 · 1 mo · India · Remote

Codexintern

AI-ML Intern

Oct 2025 – Nov 2025 · 1 mo · India · Remote

Projects Worked On :
1) 𝐈𝐫𝐢𝐬 𝐅𝐥𝐨𝐰𝐞𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Built and evaluated supervised machine learning models to classify iris species using petal and sepal measurements, applying data visualization, train-test splitting, and performance metrics such as accuracy and confusion matrix.
2) 𝐒𝐩𝐚𝐦 𝐌𝐚𝐢𝐥 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Developed an NLP-based spam detection system by preprocessing text data and extracting features using training classifiers like Naive Bayes and Logistic Regression, and evaluating results using precision, recall, and F1-score.
3) 𝐇𝐨𝐮𝐬𝐞 𝐏𝐫𝐢𝐜𝐞 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧: Implemented a regression model to predict house prices using structured housing data, performing data preprocessing, feature normalization, and model evaluation with Mean Squared Error to ensure prediction accuracy.

Artificial IntelligenceMachine LearningArtificial Intelligence (AI)K-Nearest Neighbors (KNN)Linear RegressionNaive Bayes Method

Labmentix

AI-ML Intern

Sep 2025 – Oct 2025 · 1 mo · Maharashtra, India · Remote

The Internship Project is about Crime Incidents Forecasting for train data of FBI for specific time period collected based on real-time crime incidents.

Artificial IntelligenceMachine LearningStatistical Data Analysis

Edunet foundation

Frontend Web Development Intern

Aug 2025 – Sep 2025 · 1 mo · India · Remote

During my internship, Developed a Task Manager with Progress Tracker to efficiently organize and monitor daily activities. The system enables users to manage tasks, track progress, and ensure timely completion, improving productivity and scheduling efficiency.

Mosdorfer gmbh

Project Intern

Feb 2025 – Sep 2025 · 7 mos · Nashik, Maharashtra, India · On-site

FINAL YEAR PROJECT - IMPROVING THE PERFORMANCE OF GRAVITY DIE
CASTING OF SUSPENSION CLAMPS FOR PANTOGRAPH
OF UHV TRANSMISSION LINES
Project Description :
The project aims to optimize the defect rate of product (suspension clamps) using Taguchi Algorithm and finding the best optimize way to get best product by comparing the taguchi data with Genetic Algorithm and getting best product parameters reducing defect rate.

Infosys springboard

Artificial Intelligence Intern

Feb 2025 – Apr 2025 · 2 mos · Remote

During my internship, I developed an AI-based Autonomous Driving System using YOLOv11 models, combined with computer vision techniques. The project involved training custom object detection models on the dataset, implementing real-time object and lane detection.

Convolutional Neural Networks (CNN)Artificial IntelligenceDeep LearningModel Training

Team antariiksh

Co-Founder & Team Lead

Mar 2023 – Nov 2025 · 2 yrs 8 mos · Nashik, Maharashtra, India · On-site

The Team Antariiksh is the team with a vision of space technology where the team will be focusing on manufacturing cost effective rockets 🚀 #MadeinIndia

Team LeadershipTeamworkTeam Management