V

Vinay Karakavalasa

AI Researcher

Andhra Pradesh, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • 3+ years of experience in AI and NLP
  • Expert in developing scalable AI solutions
  • Proficient in rapid prototyping and model optimization
Stackforce AI infers this person is a skilled AI and NLP engineer with a focus on developing intelligent systems.

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Skills

Core Skills

Natural Language Processing (nlp)Machine Learning

Other Skills

Agentic AIAmazon Web Services (AWS)Artificial Intelligence (AI)C (Programming Language)Core JavaDeep LearningFastAPIJavaLangChainLangGraphMachine Learning AlgorithmsMicrosoft AzureModular CodingPyTorchPython

Experience

Tata consultancy services

Research & Innovation Engineer

May 2022Present · 3 yrs 10 mos · Hyderabad, Telangana, India

  • Build various AI driven solutions in the form of POC's across the field of NLP and SpaCy for DataPlus and Data Transformation teams to achieve business requirements.
  • ☐ Built an NLP-driven tool using SpaCy’s en-core-web-lg for intelligent schema recognition and automated data transformation workflows.
  • ☐ Designed and implemented a Corrective Retrieval-Augmented Generation pipeline using LangGraph, GPT-4o, and text-embedding-3 to enhance semantic retrieval and documentation navigation.
  • ☐ Achieved 94% Context Precision and 91% Answer Relevancy, ensuring highly accurate, context-aware responses.
  • ☐ PII Detection System: Developed an end-to-end ML pipeline to classify database column metadata as PII/Non-PII, achieving an average accuracy of 85.78%.
Machine Learning AlgorithmsPython (Programming Language)spaCyNatural Language Processing (NLP)Retrieval-Augmented Generation (RAG)Artificial Intelligence (AI)+8

Tcs digital

Research And Development Intern

Mar 2022May 2022 · 2 mos · India · Remote

  • Developed a Data Abstractive Summary Tool to automatically generate concise summaries from news articles using a fuzzy-logic-based sentence ranking method.
  • Roles & Responsibilities:
  • 1. Used various Fuzzy-based ranking methods to score the sentences from the given article data.
  • 2. Enabled users to customize summary length by selecting the desired number of sentences for each article’s summary, offering flexibility and control over the output.
  • 3. Integrated the generated summaries with Pegasus Paraphraser, a HuggingFace Generative AI model, to enhance readability and coherence of abstractive summaries.
  • Results:
  • Automated data abstraction, eliminating manual effort and reducing time spent on summarizing large content, enhancing user productivity.
Natural Language Processing (NLP)Pythonstreamlit

Eamvey

Full-stack Developer

Jun 2021Aug 2021 · 2 mos · Guntur, Andhra Pradesh, India

Education

GITAM Deemed University

Bachelor of Technology - BTech — Computer Science

Jan 2018Jan 2022

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