Teja Muramalla

AI Researcher

Bengaluru, Karnataka, India1 yr 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Deep Learning and Computer Vision.
Proven ability to build scalable AI solutions.
Strong background in research and data engineering.

Stackforce AI infers this person is a proficient AI Engineer specializing in Deep Learning and Computer Vision.

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Skills

Core Skills

Deep LearningMachine LearningComputer VisionData EngineeringNatural Language Processing

Other Skills

AI AgentsAI SolutionsAIMLAlgorithmsArtificial Intelligence (AI)Attention to DetailC++Cloud ComputingCommunicationComputer ScienceConvolutional Neural Networks (CNN)Creative Problem SolvingData AnalysisData AnalyticsData Cleaning

About

Highly motivated and creative researcher with a strong academic background in Machine learning and mathematics, seeking an employment opportunity to conduct research and addresses challenges that define the technology of today and tomorrow. Possesses great passion for Programming, Deep learning and Computer Vision, and demonstrates a keen ability to learn new concepts and adapt to challenging ambiguous environments thereby supporting the organization's technological objectives.

Experience

1 yr 7 mos

Total Experience

9 mos

Average Tenure

1 yr 3 mos

Current Experience

Metrum ai

2 roles

AI Engineer

Mar 2025 – Present · 1 yr 3 mos · On-site

Building Know Your Agents

AI Intern

Nov 2024 – Feb 2025 · 3 mos · On-site

Built a custom batch serving module using Ray Serve and DeepSpeed for LLM with weights offloaded to SSD, enabling LLaMA 3.3 70B to serve with 8 GB of GPU memory footprint.
Built a custom batch ingestion and retriever on top of Milvus vectorDB using Langchain for 5x higher throughput.

Ray ServeDeepSpeedLLMSSDLangchainMilvus vectorDB+2

Oneplus software r&d centre private limited

Research Intern

Jul 2024 – Nov 2024 · 4 mos · Hyderabad, Telangana, India · On-site

Worked on researching and developing generative models for image in-painting for Oppo’s AI Eraser.
Built a data wrangling pipeline for handling extremely noisy and multilingual data using pandas, numpy and created interactive visualizations using plotly, seaborn for identifying clusters of pain-points for issues in development.
Built RAG chatbot for answering knowledge intensive queries with reranked score for internal tickets using FAISS and LLaMa 2.

Generative ModelsImage In-paintingData WranglingPandasNumPyPlotly+6