Deepika Singh
Summary
Innovative AI Software Developer with TATA Consultancy Services, skilled in Python and JavaScript. Successfully enhanced healthcare chatbot engagement through dynamic NLU integration and robust API solutions. Proven ability to collaborate effectively with cross-functional teams, ensuring high client satisfaction and seamless data access. Passionate about delivering impactful, user-centric technology solutions.
Overview
2
2
years of professional experience
1
1
Certification
Work History
AI Software Developer
TATA Consultancy Services
04.2024 - Current
- Designed and implemented Botpress conversational flows by translating business requirements into JavaScript/Node.js solutions, enhancing a healthcare website chatbot.
- Integrated NLU pipelines and LLM-based logic (Copilot) to deliver dynamic, context-aware responses, improving user engagement and accuracy.
- Optimized and tested conversational flows using Postman for API validation, ensuring seamless integration with backend services.
- Leveraged SQL queries to fetch and process ERP/healthcare data within the chatbot, enabling real-time and personalized responses.
- Implemented robust error handling and monitoring using GLProd and Apigee platform, ensuring reliable API performance and minimizing downtime.
- Collaborated with cross-functional teams to troubleshoot, debug, and deploy chatbot solutions, ensuring performance, scalability, and client satisfaction.
- Developed an interactive dashboard for Botpress users using Python, HTML, and CSS, integrating Matplotlib and Pandas to visualize monthly ticket counts and user distribution for actionable insights.
Data Engineer
TATA Consultancy Services- GE Healthcare
09.2023 - 04.2024
- Developed and deployed REST APIs using AWS Glue, Lambda, S3, Redshift, API Gateway to enable seamless data access.
- Automated API creation via DaaS Admin and Glue code-generator, integrated with GitHub for version control.
- Implemented dynamic query logic in Lambda layers (filtering, pagination, data range).
Education
B.Tech - Computer Science, Minor in DS & AI
Graphic Era Hill University
Dehradun, Uttarakhand, India8 2023
12th-High School -
Conossa Convent School
Ayodhya, India01-2018
10th-Secondary School -
Conossa Convent School
Ayodhya, India01-2016
Skills
- Languages: Python, JavaScript (Nodejs), C, SQL, HTML, CSS
- Developer Tools: AWS Services Git, Postman, Apigee, Botpress Conversational AI Platform, DAAS Admin
- Libraries: NLU Pipelines / Copilot (LLM integration), Axios / Fetch API, genAI, Pandas, NumPy, Matplotlib, Scikit-learn
Personal Information
Certification
AWS solution architect associate
Skills
Languages
- Python, JavaScript (Node.js), C++, SQL, HTML, CSS
Developer Tools
- AWS Services Git, Postman, Apigee, Botpress Conversational AI Platform, DAAS Admin
Libraries
- NLU Pipelines / Copilot (LLM integration), Axios / Fetch API, genAI, Pandas, NumPy, Matplotlib, Scikit-learn
Projects
- Music genre classification | Data Science, Machine Learning, KNN,Python HTML, CSS (Link)
- Implemented a K-Nearest Neighbors (KNN) model for music genre classification, applying supervised learning techniques to improve prediction accuracy.
- Applied audio feature extraction (e.g., MFCCs, spectral features) and preprocessing techniques to analyze datasets, enabling reliable machine learning model performance.
- User Management System | HTML, CSS, Javascript, Axios, Node js (Link)
- Built a user authentication and profile management system with Node.js and Express, enabling secure signup, login, and profile handling.
- Implemented RESTful APIs for smooth frontend–backend communication, ensuring a seamless and responsive user experience.
- World Coin Currency Detection | CNN, Python, Tensorflow, Keras, scikit-learn (Link)
- • Developed a robust deep learning model for predicting the face value of the coin, currency, and country. • Achieved model accuracy of around 86% on test data by applying image augmentation techniques.
- • Successfully classified currencies from 32 different countries across 211 distinct classes. • Application: This model can be used in vending machines.
- Music genre classification | Data Science, Machine Learning, KNN, Python HTML, CSS (Link), Implemented a K-Nearest Neighbors (KNN) model for music genre classification, applying supervised learning to improve prediction accuracy., Applied audio feature extraction (e.g., MFCCs, spectral features) and preprocessing techniques to analyze datasets, enabling reliable machine learning model performance., User Management System | HTML, CSS, Javascript, Axios, Node js (Link), Built a user authentication and profile management system with Node.js and Express, enabling secure signup, login, and profile handling., Implemented RESTful APIs for smooth frontend–backend communication, ensuring a seamless and responsive user experience.
Timeline
AI Software Developer
TATA Consultancy Services
04.2024 - Current
Data Engineer
TATA Consultancy Services- GE Healthcare
09.2023 - 04.2024
B.Tech - Computer Science, Minor in DS & AI
Graphic Era Hill University
12th-High School -
Conossa Convent School
10th-Secondary School -
Conossa Convent School