Ojshav Saxena

CTO

Bhopal, Madhya Pradesh, India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led technology and product development at Scalixity.
Developed a recommendation engine and chatbot solutions.
Achieved benchmark results in medical image segmentation.

Stackforce AI infers this person is a Backend and AI-focused Software Engineer in the SaaS industry.

Contact

ojshav@scalixity.com LinkedIn

Skills

Core Skills

Back-end Web DevelopmentAmazon Web Services (aws)Data ScienceMachine LearningComputer VisionDeep LearningWeb DevelopmentUser Interface DesignTeam LeadershipManagement

Other Skills

AlgorithmsAnalyticsApacheApache KafkaApache PigApache ZooKeeperArtificial Intelligence (AI)BootstrapBug TrackingC++Cascading Style Sheets (CSS)Computer ScienceContent ManagementContent StrategyData Analysis

About

Currently leading technology and product development at Scalixity as Head of Technology and Product Development. Focused on building scalable systems and leveraging backend development, AI, and GenAI tools such as Python, Node.js, and SQL, while deploying solutions using AWS EC2 instances. Collaborates with teams to design and document projects that align with client needs and technological best practices.

Experience

2 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 1 mo

Current Experience

Scalixity

2 roles

Software Engineer (Head of Technology and Product Development)

Promoted

May 2025 – Present · 1 yr 1 mo · Indore, Madhya Pradesh, India · Remote

I started working as a Founding Engineer, with day-to-day responsibilities that included leading a team of developers, engaging with clients to understand their requirements, and preparing detailed project documentation. Over time, I focused on building scalable systems, enhancing my knowledge of system design and best development practices. I deepened my proficiency in backend development and AI development using Python, Node.js, and SQL, while also working with AWS EC2 instances for deployment and operations.

FlaskReact.jsTailwind CSSAmazon Web Services (AWS)TypeScriptSQL+4

Data Scientist

Nov 2024 – Apr 2025 · 5 mos · Indore, Madhya Pradesh, India · Remote

I began my journey as a Data Science Intern, where I worked on developing a prototype recommendation engine for an e-commerce platform. Over time, I expanded my skill set by exploring RAG-based chatbots, learning LangChain, and building an end-to-end chatbot for an in-house company project.
Later, I deepened my expertise in backend development, gaining hands-on experience with Next.js and Node.js, and successfully built an admin panel for the company’s portfolio website. I also worked extensively on VPS server management, learning how to deploy websites, configure domains, and set up Apache with SSL for secure hosting.

FastAPIPython (Programming Language)Artificial Intelligence (AI)Data ScienceTypeScriptNext.js+6

Linnaeus university

2 roles

Web Development Intern

Mar 2024 – Jun 2024 · 3 mos · Sweden · Remote

As a Web Development Intern, I will be collaborating on designing, developing, and implementing website features and functionalities, as well as troubleshooting and debugging website issues. I'm eager to bring my passion for web development and my academic background in the field to the table, and I'm excited to learn and grow during this internship.

Front-End DesignOperational EfficiencyFrontendWeb DesignFront-End DevelopmentAlgorithms+4

AI Researcher

Nov 2023 – Oct 2024 · 11 mos · Sweden · Remote

Conducted an in-depth review of 20+ research papers on medical imaging and 3D models to enhance expertise in segmentation methods.
Built and fine-tuned models such as U-Net and ResNet from scratch using the MONAI library for efficient 3D medical image segmentation.
Utilized DeepLabV3+ with transfer learning and explored unsupervised learning approaches for improved segmentation accuracy.
Achieved benchmark results on 3D liver tumor segmentation, delivering high Dice Coefficient and Mean IoU scores.

Python (Programming Language)Computer VisionResearch SkillsPyTorchDeep LearningTensorFlow