Manoj Kumar Karumanchi

Manoj Kumar Karumanchi

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Software AI Engineer, Generative and Agentic AI
Hyderabad, Telangana, India

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Résumé


Jobs verified_user 0% verified
  • Accellor
    Software Engineer I
    Accellor
    Jul 2024 - Current (2 years)
    As a Software Engineer I, I have been instrumental in prototyping AI agent workflows using Agent Bricks within the Databricks platform, focusing on model governance, forecasting capabilities, MLflow-based observability, ELT pipelines, Delta Tables, and BI-driven sales and inventory dashboards. I developed a Voice Agent utilizing MCP (Model Context Protocol) for intelligent voice-based interactions, featuring real-time voice recognition and automated task execution. Additionally, I created a Multimodal Document Summarization system using Agentic AI frameworks, leveraging RAG architecture with advanced chunking strategies for intelligent document and media processing, generating summarized outputs as themed PDF and PPT presentations. My work
  • OASIS INFOBYTE
    Machine Learning Intern
    OASIS INFOBYTE
    Aug 2023 - Sep 2023 (2 months)
    • Developed machine learning models for wine quality prediction (92% accuracy), car price forecasting, and stock price prediction using LSTM neural networks • Built Python-based email spam detector reducing spam by 30% and implemented neural network achieving 98% accuracy for handwritten digit recognition • Conducted in-depth analysis of COVID-19-era unemployment trends using Python and data visualization, delivering actionable insights to economic teams • Designed and deployed conversational AI chatbot on Google Cloud Platform using advanced NLP techniques, significantly enhancing user interaction experiences
  • S
    Data Analyst Intern
    Senchola Technologies
    Jun 2023 - Aug 2023 (3 months)
    • Executed Flight data scraping using Selenium and BeautifulSoup; evaluated machine learning models including Random Forest and XGBoost for delay prediction; selected Random Forest as the best-performing model, and visualized insights with Seaborn and Matplotlib—achieving a 30% improvement in data accuracy • Developed NLP-powered spam classifier reducing spam by 30% and deployed Conversational AI chatbot on Google Cloud with integrated NLP pipelines and intent classification • Engineered and deployed ML models achieving 92% accuracy in wine quality prediction, 20% improvement in car price forecasting, and 95% accuracy in stock price prediction using LSTM and transformer architectures
Education verified_user 0% verified
  • Microsoft
    Microsoft Certified: Azure AI Engineer Associate
    Microsoft
    Sep 2025
  • Snowflake
    Snowpro Associate: Platform Certificate
    Snowflake
    Sep 2025
  • I
    Prompt Engineering Professional Certification
    IMTF
    Dec 2024
  • M
    Business Intelligence and Data Analytics
    ML.org
    Dec 2022 - Jan 2023 (2 months)
  • G
    AI for India 2.0
    Guvi, NSDC, Skill India, IIT Madras
    Nov 2022 - Jan 2023 (3 months)
  • W
    Data Analyst
    White Hat Jr
    Oct 2021 - Dec 2021 (3 months)
  • Indian Institute of Information Technology
    Bachelor of Technology
    Indian Institute of Information Technology
    Dec 2020 - Jun 2024 (3 years 7 months)