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Sunkara Siva sambhavi santhoshSS
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Sunkara Siva sambhavi santhosh

@sunkarasivasambhavis

I'm an AI/ML engineer building real-time computer vision and RAG-based AI solutions.

India
Message

What I'm looking for

I'm seeking an AI/ML Engineer role focused on developing reliable and scalable machine learning solutions, particularly across computer vision, NLP, generative AI, and real-time inference.

I've built AI systems spanning RAG customer support, MRI stroke-risk classification, real-time object detection, gesture recognition, and NLP spam detection. My RAG chatbot used LangChain, a vector database, and embeddings to achieve 90% query-resolution accuracy for e-commerce support.

At Edunet Foundation, I engineered the SignSpeak real-time hand-gesture recognition pipeline with Python, OpenCV, and Mediapipe, optimizing spatial feature extraction for lower-latency inference. I was selected for the Regional Round for technical design and project execution.

I'm completing a B.Tech in Computer Science & Engineering (AI & ML) and am seeking opportunities to develop reliable, scalable machine learning solutions.

Experience

Work history, roles, and key accomplishments

EF

AI/ML Intern

Edunet Foundation

Apr 2024 - Jun 2024 (2 months)

Engineered a real-time hand gesture recognition pipeline using Python, OpenCV, and Mediapipe for the SignSpeak accessibility project. Optimized spatial feature extraction to reduce inference latency and improve real-time computer vision performance.

Education

Degrees, certifications, and relevant coursework

KI

Kakinada Institute of Engineering and Technology II

Bachelor of Technology, Computer Science & Engineering (AI & ML)

2022 -

Grade: 7.44 CGPA

Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, maintaining a CGPA of 7.44.

GC

GRC Modern Junior College

Intermediate, MPC

2020 - 2022

Grade: 60%

Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry, achieving 60%.

ZS

Z.P.P. High School

Secondary School Certificate, General

2019 - 2020

Grade: 80%

Completed secondary school education, achieving 80% in the SSC examinations.

Tech stack

Software and tools used professionally

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