SauhamVyas

SauhamVyas

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Madhya Pradesh, India
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Flexible work
Starting at USD15/hour
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Starting at USD2k/month
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Résumé

Jobs verified_user 0% verified
  • Webflow
    Agentic AI Developer
    Webflow
    Nov 2025 - Current (1 year)
    • Designed and deployed an automated Recruiting Agent using AWS Bedrock Agent Core and Strands, integrating Greenhouse
    candidate links, Airtable interviewer data, and Google Calendar availability to provide instant scheduling responses in Slack,
    reducing HR coordination time by approximately 80%.
    • Engineered a cost-analysis AI Agent using n8n workflows, webhooks, and Google Sheets to calculate variances between
    forecasted and actual IT budgets, achieving a 50% reduction in manual effort while enabling real-time financial insights.
    • Implemented Retrieval-Augmented Generation (RAG) capabilities within Slack, enabling conversational responses based on
    structured data from databases and Google Sheets and tran
  • Horeca Store
    AI Developer
    Horeca Store
    Mar 2025 - Current (1 year 8 months)
    • Developed and deployed a bulk order recommendation system using Python and advanced machine learning techniques (e.g., collaborative filtering, RAG pipelines) to optimize B2B order volumes and inventory planning. • Collaborated cross-functionally with product and engineering teams to integrate AI-driven recommendations into the platform, enhancing client retention, upsell opportunities, and streamlining ML workflows. • Researched and implemented cutting-edge machine learning algorithms that improved personalization, forecasting, and decision-sup port features across the platform.
  • S
    AI-ML Engineer
    SETV Global
    Jul 2024 - Feb 2025 (8 months)
    • Implemented advanced computer vision techniques with CNN models in Python to accurately detect tumors and Alzheimer's in MRI scans, thereby enhancing diagnostic outcomes. • Generated detailed diagnostic reports by identifying sizes, locations, and abnormalities in brain diseases and third-trimester pregnancy complications, leveraging tools such as YOLO, PyTorch, TensorFlow, and OpenCV. • Applied NLP techniques to analyze physicians' inputs, bolstering system understanding and increasing response accuracy by 20% . • Optimized language model development workflows and automated performance monitoring, resulting in a 30% increase in model performance and a 40% boost in user satisfaction.
  • C
    AI and Data Science Intern
    Codsoft Infotech
    May 2024 - Jul 2024 (3 months)
    • Developed Python-based AI projects using Flask and CNNs, enhancing project efficiency and accuracy in machine learning model deployment. • Engineered automated ETL pipelines for both structured and unstructured data, reducing data processing time and improving model readiness for analysis. • Built predictive models to improve customer engagement strategies, enabling more personalized marketing efforts and increased customer retention through ML-driven insights.
  • D
    Operations and Data Analyst
    Devaditya Technocrats LLP
    May 2023 - May 2024 (1 year 1 month)
    • Designed and developed interactive dashboards and analytical reports using Matplotlib and Pandas, visualizing key operational metrics such as inventory turnover, financial performance, and customer engagement trends.
    • Led comprehensive data analysis using Python (Pandas, NumPy) and SQL, exploring historical financial records, vendor transactions, and operational KPIs to uncover inefficiencies and optimization opportunities.
    • Oversaw end-to-end data operations including accurate data entry, creation of financial forecasting models in Excel with automation tools, and documentation standardization to streamline processes.
    • Developed and implemented AI systems focused on Computer Vision models, enhancing the analytical c
Education verified_user 0% verified
  • S
    Bachelor's of Technology (B.Tech)
    Sage University Indore, Dept-Institue of Advance Computing Indore
    Aug 2021 - Aug 2025 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • D
    Document Chat Application using RAG
    Feb 2025
    • Developed an AI-powered RAG-based Chatbot using LangChain, LlamaIndex, and OpenAI APIs, enabling efficient retrieval-augment ed generation (RAG) for answering document-based queries. • Implemented a vector database (ChromaDB) to store and retrieve document embeddings, optimizing search accuracy and response relevance. • Built a scalable web interface using Streamlit, integrating user authentication and seamless document upload for interactive AI-driven conversations.
  • F
    Fetus Location and Organ Detection
    Oct 2024 - Mar 2025 (6 months)
    • Designed an object detection pipeline to identify fetal organs using YOLOv8 and Roboflow datasets. • Developed an automated data handling system to manage empty label files and organize training data efficiently. • Optimized the detection model's performance using Ultralytics and OpenCV, enhancing accuracy and reducing misclassification.
  • D
    Data Extraction and Sentiment Analysis
    Sep 2024
    • Automated Web Data Retrieval: Developed a Python-based tool using BeautifulSoup to extract and process article text from multiple URLs. • Sentiment Analysis Integration: Implemented TextBlob for sentiment analysis, computing polarity and subjectivity scores from extracted content. • Data Processing & Structured extracted data using Pandas, saved results in Excel format, and optimized text cleaning with regex-based preprocessing.
  • A
    AI Recommendation System
    Aug 2024 - Apr 2025 (9 months)
    • Built a modular AI Recommendation System leveraging collaborative filtering and content-based techniques to deliver personalized product suggestions across diverse user profiles and behaviors. • Integrated Python-based data pipelines and machine learning models to process user interaction logs and product metadata, improving recommendation accuracy and relevance. • Designed a scalable architecture using Flask for API deployment and ensured real-time response handling for seamless integration into eCommerce or SaaS environments.