Akanksha Gaur

Co-Founder

Jaipur, Rajasthan, India1 yr 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Passionate learner in Web Development and DSA.
Hands-on experience with AI-driven systems and machine learning.
Eager to collaborate on innovative tech projects.

Stackforce AI infers this person is a Web Developer with a focus on AI and backend systems.

Contact

Skills

Core Skills

PythonRest ApisAi/ml Model DevelopmentData Preprocessing

Other Skills

CC++Data StructuresDatabase Management System (DBMS)Django REST FrameworkFastAPIFeature engineeringJavaMongoDBOperating SystemsReact.jsWeb DevelopmentXML-RPCshell

About

🌟 Aspiring Web Developer | Problem Solver in the Making 🌟 Hello! I’m a passionate learner building skills in Web Development and Data Structures & Algorithms (DSA). With expertise in C, C++, Java, PHP, Django, and front-end technologies like HTML, CSS, and JavaScript, I’m focused on creating impactful solutions and enhancing my problem-solving abilities. I’m eager to connect with professionals, collaborate on innovative projects, and grow as a developer in the ever-evolving tech landscape. Let’s connect and learn together!

Experience

1 yr 6 mos

Total Experience

11 mos

Average Tenure

1 yr 3 mos

Current Experience

Amazon ml summer school

Apprentice

Aug 2025 – Aug 2025 · 0 mo · Remote

Navyug infosolutions pvt. ltd.

Project Intern

Jul 2025 – Dec 2025 · 5 mos · Noida, Uttar Pradesh, India · On-site

Completed 6-month's internship working on an AI-driven Leave Management System integrated with Odoo ERP, using Python, FastAPI (REST APIs), DSPy, MongoDB, and XML-RPC. Gained hands-on experience with enterprise backend systems and ERP automation.

PythonFastAPIREST APIsMongoDBXML-RPC

Aryabhatta research institute of observational sciences

Summer Intern

May 2025 – Jun 2025 · 1 mo · On-site

Summer Intern at ARIES (Aryabhatta Research Institute of Observational Sciences)
Worked with ASTRAD radar data to analyze atmospheric optical turbulence. Gained hands-on experience in data preprocessing, feature engineering, and AI/ML model development for predicting astronomical seeing above the boundary layer. Focused on enhancing seeing forecast accuracy using machine learning techniques.

Data preprocessingFeature engineeringAI/ML model development