Bhavya .

Intern

Dehradun, Uttarakhand, India1 yr 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in software development and AI.
Hands-on experience in building scalable systems.
Graduate of Amazon ML Summer School.

Stackforce AI infers this person is a Machine Learning and Software Development enthusiast with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Computer Vision

Other Skills

AI AgentsAI-driven object detectionAlgorithmsAmazon Web Services (AWS)Android DevelopmentBusiness Relationship ManagementC (Programming Language)CommunicationCommunity DevelopmentCompetitive ProgrammingCustomer Relationship Management (CRM)Data StructuresDeep LearningDeep SORTDigital Image Processing

About

I’m a final-year Computer Science undergraduate with a strong foundation in software development and a growing passion for machine learning and AI. With hands-on experience across diverse domains—from building full-stack applications and RESTful APIs to developing ML models for object detection and classification—I enjoy turning complex problems into practical, impactful solutions. Over the past year, I’ve worked with organizations like Info Edge and DRDO's IRDE Lab, where I applied technologies like Spring Boot, YOLOv8, Deep SORT, and Docker to build scalable systems and intelligent ML pipelines. I’m also an Amazon ML Summer School graduate, and my technical toolkit includes Java, Python, C++, OpenCV, TensorFlow, and cloud platforms like AWS. I’m a curious learner, problem-solver, and someone who believes in collaboration, clean code, and continuous growth. I’m currently looking for opportunities in software development or AI/ML roles where I can learn, contribute, and grow alongside passionate teams.

Experience

1 yr 7 mos

Total Experience

6 mos

Average Tenure

Current Experience

Info edge india ltd

Intern

Jan 2025 – Jun 2025 · 5 mos · Noida, Uttar Pradesh, India · On-site

Defence research and development organisation (drdo)

Machine Learning Intern

Jul 2024 – Aug 2024 · 1 mo · Dehradun, Uttarakhand, India · Hybrid

Currently interning at IRDE DRDO, Dehradun, focusing on AI-driven object detection and tracking. Gaining hands-on experience in advanced machine learning techniques and contributing to cutting-edge defense technology projects.

AI-driven object detectiontrackingmachine learning techniquesMachine LearningArtificial Intelligence (AI)

Amazon ml summer school

Amazon ML School 24'

Jun 2024 – Jun 2024 · 0 mo

During the Amazon ML Summer School 2024, I had the opportunity to deepen my understanding of machine learning by engaging with Amazon experts and exploring real-world applications of advanced ML techniques. I gained hands-on experience in key topics such as supervised learning, deep neural networks, unsupervised learning, generative AI, and reinforcement learning.
Throughout the program, I worked on practical challenges, applied machine learning algorithms to solve real-world problems, and collaborated with peers to exchange insights. This experience enhanced my problem-solving skills and provided me with valuable knowledge in areas like dimensionality reduction and large language models (LLMs), preparing me for more complex AI-driven projects.

machine learningsupervised learningdeep neural networksunsupervised learninggenerative AIreinforcement learning+2

Geu acm

External Relations Officer

Apr 2024 – Aug 2024 · 4 mos · India · Hybrid

🌟 Excited to announce that I've joined Graphic Era Deemed University's ACM chapter as the External Relations Officer! 🚀
🔹 As an External Relations Officer, I am committed to fostering meaningful connections and partnerships that enhance the visibility and impact of ACM within our university and beyond.
🔹 With a passion for technology and innovation, I'm dedicated to promoting ACM's mission of advancing computing as a science and a profession, and I'm eager to collaborate with industry leaders, academia, and the broader community to achieve our goals.
🔹 I'm thrilled to contribute to the vibrant ACM community at Graphic Era Deemed University, and I look forward to engaging with students, faculty, alumni, and industry professionals to create valuable opportunities for growth and learning.
🔹 Let's connect and explore how we can work together to drive innovation, foster collaboration, and make a positive impact in the world of computing!
#ACM #ExternalRelations #GraphicEraDeemedUniversity #Technology #Innovation #Partnerships #ComputingCommunity #Networking