Jul 2025 – Sep 2025 · 2 mos · Hyderabad, Telangana, India · Hybrid

• Contributed to AMD’s Infrastructure team by building internal data tools with Angular, .NET, and Snowflake, improving workflow performance and enabling smoother scaling of operations

May 2025 – Jul 2025 · 2 mos · Remote

• Worked with the founding team at a fast-paced startup to build a B2B SaaS platform for streamlining hiring workflows. Contributed across the stack (Next.js, TypeScript, Spring Boot, AWS) to develop core features including user flows, authentication, and access control, while helping deliver production-ready releases in a lean engineering setup.

May 2025 – Jul 2025 · 2 mos · Chennai, Tamil Nadu, India · On-site

• Engaged in a research-focused internship under a confidential engagement, contributing to security assessment, evaluation workflows, and collaborative documentation with academic and industry stakeholders.

Mar 2025 – Present · 1 yr 2 mos · Chennai, Tamil Nadu, India

Oct 2024 – Mar 2025 · 5 mos · Bengaluru, Karnataka, India

• Contributed to the development of AI-driven safety systems by assisting in the design and validation of deep learning models for object and text detection in dynamic on-road environments. Helped preprocess and curate multimodal datasets from camera and radar inputs to improve real-time perception and scene understanding. Collaborated with the research team to fine-tune lightweight neural networks optimized for embedded deployment, supporting features like blind-spot detection and hazard identification tailored to Indian traffic conditions. Played a key role in evaluating model performance using metrics such as IOU, precision, and recall, aligning closely with the company’s mission of zero human fatalities through intelligent mobility systems.

Jun 2024 – Sep 2024 · 3 mos · Bengaluru, Karnataka, India

• Developed and optimized RESTful APIs using Java Spring Boot to streamline data flow between various systems. Assisted in automating regression testing, which improved the overall stability and scalability of core applications. Worked closely with cross-functional teams to ensure seamless integration and efficient performance of backend services.

May 2024 – Jul 2024 · 2 mos · Dharwad, Karnataka, India · On-site

• Engaged in cutting-edge research on visual-based malware classification, applying advanced image processing and machine learning techniques. Worked closely with Dr. Pavan Kumar C, contributing to a significant 98% enhancement in classification accuracy and advancing the field’s research capabilities.

Jul 2023 – Aug 2023 · 1 mo · Indore, Madhya Pradesh, India

• Crafted and published impactful articles and blogs on emerging technologies, elevating the company’s thought leadership on platforms such as LinkedIn and Medium. Demonstrated expertise in translating complex technical concepts into engaging content, contributing to a stronger online presence and industry influence.