Machine Learning Ai Engineer

DHYANA SONI

+1-437-***-**** *************@*****.*** Mississauga, ON LinkedIn GitHub

PROFESSIONAL SUMMARY Results-driven AI Engineer with hands-on experience in Azure cloud solutions, machine learning, NLP, and deep learning. Currently leveraging Python, Java, and cloud technologies as an Associate AI Engineer Intern at Atqor to build innovative AI applications. Brings a strong technical foundation from previous internships at IndiaNIC, System Level Solutions, and Ekantik Software Solutions, with expertise in Django and Spring MVC frameworks. Published researcher paper with recognition in international conferences for work in 3D Bioprinting and NLP, including 1st runner-up at Hackathon 2024. Combines technical acumen with effective communication skills and a passion for creating technology-driven impact, particularly in women's empowerment initiatives.

EXPERTISE Data Science AI and Machine Learning Natural Language Processing Chatbot Development RAG Large Language Models Research & Innovation Leadership & Communication Problem-Solving TECHNICAL SKILLS

Programming Languages: Python, Java, C, Advanced Java Frameworks: Django, Spring MVC Cloud & AI: Azure AI, Machine Learning, NLP, Deep Learning Tools & Libraries: TensorFlow, PyTorch, LangChain, Scikit-learn, NLTK,Power BI PROFESSIONAL EXPERIENCE

ASSOCIATE DATA SCIENTIST INTERN atQor Mississauga, ON Jan 2025 – present

- Collaborating on a platform development project that integrates various AI agents into a unified system.

- Developing various AI Agents for a unified platform using semantic kernal and langchain architecture

- Exploring and using various Azure AI Services for end to end GenAI application development. AI/ML INTERN IndiaNIC Infotech Ahmedabad, India May 2024 – Jun 2024

- Fine-tuned DistilBERT for multiclass text classification to develop an email classification system at IndiaNIC Infotech

- Developed an AI-powered chatbot using Django framework integrated with advanced NLP capabilities

- Implemented LangChain to enhance the chatbot's knowledge retrieval and processing capabilities

- Architected and deployed a Retrieval-Augmented Generation (RAG) system to improve chatbot performance and accuracy

- Applied machine learning and AI skills across multiple projects, strengthening practical experience with NLP models EDUCATION

BACHELOR’S DEGREE B.Eng Computer Engineering CVMU 2021 – 2025 FOUNDATIONAL COURSE Foundational course in Data Science IIT Madras 2021 – 2023 PROJECTS

Movie Recommendation System Python, Streamlit, Sklearn link

● Developed a robust movie recommendation system that suggests 5 related movies on the given movie in prompt based on cosine similarity. Deployed using Streamlit.

Beats.ai-An AI Based Music Generation Python, MusicGen, Torch, ReactJS, Flask link

● Created an AI-driven music generation project that produces music based on user prompts, chosen instruments, or genres using Meta's MusicGen model.

Machine Translation Python, Keras, TensorFlow, NLTK link

● Developed a sequence-to-sequence model with an Encoder-Decoder architecture and LSTMs for translating input source language (English) into a target language(Hindi). Email Classification for IndiaNIC Python, Django, Redis, DistilBERT link

● Developed an email classification application for the company, which categorizes incoming messages by department, priority level, and escalation status based on the content of the emails using a fine tuned DistilBERT LLM. LangChain Multi Agent system Azure AI Service, LangChain, Python

● Developed and deployed HR, IT, and Legal AI agents using Azure AI Services and langchain tools for agents, incorporating domain-specific rules, norms, and guidelines for tailored responses. Data Extraction Tool Azure Document Intelligence, Python, Streamlit

●Made a pdf data extraction tool which extracts data from pdfs according to visibility score threshold and then stores it in markdown format for retaining the actual structure of data.

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