Sriramoju Sai Sharanya

AI Researcher

Hyderabad, Telangana, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Specializes in AI systems with practical applications.
  • Experience in evaluating diverse AI models.
  • Skilled in full-stack development integrating ML models.
Stackforce AI infers this person is a skilled AI/ML engineer with a focus on practical applications and full-stack development.

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Skills

Core Skills

Artificial Intelligence (ai)Python (programming Language)Recommendation SystemsData Annotation

Other Skills

YOLOMiniBatch K-MeansPANNsFaster-WhisperNLLBLightGBMlabelling imagesClassificationObject DetectionRetrieval-Augmented Generation (RAG)Generative AIlabelling videosCertification TestingIBM CertifiedDocker Products

About

I’m Sriramoju Sai Sharanya, a B.Tech graduate specializing in Artificial Intelligence, Machine Learning, and Python development. I’m passionate about building real-world AI systems that are not just theoretical, but practical, scalable, and useful in real applications. During my internships, I worked on researching and evaluating AI models used in real-world systems such as video understanding, recommendation systems, multilingual processing, and AI chatbots. I studied and compared models like YOLO for object detection, MiniBatch K-Means for color detection, PANNs for audio classification, Faster-Whisper for speech and language detection, and NLLB for multilingual translation. I analyzed these models based on speed, accuracy, latency, and model size to understand which models are suitable for real-time applications. I also explored how modern recommendation systems work using embeddings, vector databases, and ranking models like LightGBM, and learned how large-scale systems retrieve and rank content based on user behavior. In addition, I worked on building and understanding RAG-based chatbot systems, where information is retrieved from documents and used by language models to generate accurate responses. Along with AI/ML, I also build full-stack applications where machine learning models are integrated into web applications using FastAPI and Python backends, with React for frontend interfaces. My goal is to build intelligent applications that work reliably in real-world environments, not just in notebooks. I am currently looking for opportunities as a Software Engineer, Python Developer, Machine Learning Engineer, or AI Engineer, where I can contribute to real-world AI applications, intelligent systems, and scalable platforms. What I Work With: • Python, Machine Learning, Deep Learning • NLP, LLMs, RAG, Embeddings, Vector Databases • Computer Vision (YOLO), Audio AI (PANNs), Speech AI (Whisper) • Recommendation Systems (LightGBM, Vector Search) • FastAPI, React, SQL • AI Model Deployment & Backend Development I’m open to internships, entry-level roles, and collaborative projects in AI, Machine Learning, and Software Development. Let’s connect and build something impactful.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Stryv.ai

AI/ML

Feb 2026Present · 3 mos · Hyderabad, Telangana, India

Bytehearts

AI/ML

Jan 2026Feb 2026 · 1 mo · Hyderabad, Telangana, India · Remote

  • During my internship, I worked on researching and comparing different AI models used for video understanding and recommendation systems. I studied models like YOLO for object detection, MiniBatch K-Means for color detection, PANNs for audio classification, and Faster-Whisper for speech and language detection. I compared these models based on speed, accuracy, latency, and model size to understand which models are suitable for real-time applications.
  • I also explored multilingual language processing using NLLB (No Language Left Behind) for language detection and translation tasks. I learned how multilingual systems detect the input language and translate text into different languages.
  • I also learned how recommendation systems work using embeddings, vector databases, and ranking models like LightGBM. Along with this, I explored video processing and compression using FFmpeg for handling different video quality levels.
  • This experience helped me understand how AI models are selected and used in real-world systems based on performance, scalability, and real-time constraints.
Python (Programming Language)Artificial Intelligence (AI)

Theaischool

Ai Data Annotation Analyst

Sep 2025Nov 2025 · 2 mos · Hyderabad, Telangana, India

  • Annotated image, video, and audio datasets to support AI model training and performance improvement.
  • Worked on multiple annotation tasks including object detection, classification, and speech tagging.
  • Followed data quality standards and AI/ML workflows to ensure accurate, consistent, and well-categorized datasets.
Data Annotationlabelling images

Education

Jyothisamithi Institute of Technological Technology & Science

Bachelor of Technology - BTech — Minor Degree in Data Science

Jun 2023Jun 2025

Jyothishmathi Institute of technology and science

Bachelor of Technology - BTech — Cse(Ai&Ml)

Jan 2021Jan 2025

Alphores junior college

Intermediate — MPC

Jan 2019Jan 2021

Sri Chaitanya high school

ssc

Jan 2019Present

Stackforce found 100+ more professionals with Artificial Intelligence (ai) & Python (programming Language)

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