
Sunkara Siva sambhavi santhosh
@sunkarasivasambhavis
I'm an AI/ML engineer building real-time computer vision and RAG-based AI solutions.
What I'm looking for
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
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
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.
GRC Modern Junior College
Intermediate, MPC
2020 - 2022
Grade: 60%
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry, achieving 60%.
Z.P.P. High School
Secondary School Certificate, General
2019 - 2020
Grade: 80%
Completed secondary school education, achieving 80% in the SSC examinations.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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