Medhavani Sharma
Noida
Summary
Innovative and detail‑oriented AI/ML Engineer with 4+ years of experience in intelligent automation, enterprise‑scale chatbot development, predictive modeling, and large‑volume data processing. Skilled in building end‑to‑end AI systems including RAG architectures, conversational interfaces, and enterprise data integrations. Strong background in NLP, ML pipelines, data engineering, and full‑stack implementation.
Overview
9
9
years of professional experience
Work History
IT Engineer
Wave Infratech Pvt. Ltd.
04.2022 - Current
🔹 AI-Powered SOP Chatbot (Milvus + Watsonx + Streamlit)
- Designed and developed an enterprise-grade SOP Chatbot capable of answering complex process queries for Finance, CRM, and Legal departments.
- Built a complete RAG (Retrieval-Augmented Generation) pipeline:
Preprocessed SOPs from Excel files
Generated embeddings using IBM WatsonX / HuggingFace
Stored embeddings in Milvus vector database for fast semantic search
Developed a Streamlit-based user interface with instant SOP lookup - Implemented exact SOP matching—by SOP No, Task, and text-based SOP names—and integrated Watsonx for summarization.
- Ensured the chatbot outputs the SOP table exactly in the original format, including columns like “Steps involved in this task,” merged values, and QA workflows.
- Added integrations with Google Programmable Search Engine for fallback search when SOP is unavailable internally.
- Built a complete analytics dashboard by integrating IBM QRadar security logs with Cognos BI.
- Integrated REST APIs securely using Progress DataDirect Autonomous REST Connector, enabling seamless, real-time data ingestion from QRadar.
- Automated ingestion of security events like top source IPs, destination ports, and log sources.
- Designed optimized data models, created visual dashboards, and automated refresh cycles to support security monitoring.
- Integrated SAP-generated reports with an AI-powered conversational interface using IBM Orchestrate.
- Enabled business users to ask natural language queries (e.g., “Show me outstanding invoices for last month”) and receive automated insights from SAP data.
- Built real-time pipelines to interpret user questions, convert them into SQL/Presto queries, and fetch data from SAP-backed datasets.
- Enhanced user experience by enabling AI-driven insights, summaries, and automated follow-up actions.
- Built a machine learning model to predict warehouse indents using Random Forest with 89% R² accuracy.
- Deployed the model using Django as an API service and automated the storage of predictions back into the database.
Intern
Functionapps Pvt. Ltd.
01.2020 - 05.2020
- Performed exploratory data analysis, feature engineering, and customer churn modeling using SVC achieving high ROC accuracy.
- Generated analytical dashboards to visualize churn probability patterns and behavioral indicators.
Associate Software Engineer
Softdew Tech Pvt. Ltd.
07.2017 - 06.2018
- Optimized academic portal performance and implemented barcode‑enabled event registration system using .NET MVC, reducing registration processing time by 60%.
Education
M.Tech - CSE
Jaypee Institute of Information Technology
B.Tech - CSE
Chitkara University
Skills
- Python
- C
- SQL
- Streamlit
- NET Framework
- Machine Learning
- NLP
- RAG
- Milvus
- Cognos
- SAP
- REST API Integration
Projects
Road Accident Analysis using ML (Random Forest, Logistic Regression) Brain Tumor Detection using CNN (80% accuracy)
Publications
- Road Safety & Accident Severity Prediction, Springer, 2020
- ML Classification for Breast Cancer Diagnosis, IEEE, 2021
Timeline
IT Engineer
Wave Infratech Pvt. Ltd.
04.2022 - Current
Intern
Functionapps Pvt. Ltd.
01.2020 - 05.2020
Associate Software Engineer
Softdew Tech Pvt. Ltd.
07.2017 - 06.2018
M.Tech - CSE
Jaypee Institute of Information Technology
B.Tech - CSE
Chitkara University