V

Vivek Prajapati

Machine Learning Engineer

Calgary, Alberta, Canada4 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 3+ years of experience in AI and ML solutions.
  • Expert in deploying cloud-native AI models.
  • Proven track record in building scalable ML systems.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Generative AI and cloud-native solutions.

Contact

Skills

Core Skills

Generative AiRetrieval-augmented Generation (rag)Machine LearningNatural Language Processing (nlp)Chatbot DevelopmentComputer Vision

Other Skills

Amazon Relational Database Service (RDS)Amazon Web Services (AWS)Azure DatabricksBack-End Web DevelopmentBootstrapCascading Style Sheets (CSS)Coding ExperienceCommunicationData EngineeringData ScienceData VisualizationDeep LearningDjangoDjango REST FrameworkDocker

About

Machine Learning Engineer with 3+ years of experience building and deploying end-to-end solutions across Machine Learning, Deep Learning, and Generative AI domains. Proven track record of delivering production-grade AI solutions—ranging from AI content detectors and personalization tools to smart assistance platforms and real-time data pipelines. Skilled in model training, evaluation, and optimization using PyTorch and Transformers, and experienced in integrating cutting-edge models, deploying ML workflows with cloud-native architectures like AWS, Docker, and GitHub Actions. Equally comfortable working on NLP, Computer Vision, and tabular ML tasks, with a strong focus on performance, scalability, and practical outcomes. Core Expertise: • Generative AI & LLMs: Fine-tuning OpenAI, GPT, Claude, LLaMA, Mistral | Prompt Engineering | Retrieval-Augmented Generation (RAG), Large Language Models (LLMs) Systems | Custom AI Chatbots | LangChain | CrewAI | HuggingFace • NLP & Conversational AI: NER, Sentiment Analysis, Summarization, Semantic Search, Text Classification, Topic Modeling, Text Similarity, NLG • Computer Vision: Image Segmentation, Medical Imaging, Facial & Emotion Detection, Object Tracking, 3D Image Classification • Audio & Multimodal AI: Audio Classification, Speech Emotion Recognition • ML Systems: Outlier Detection, Recommendation Systems, Clustering, Time Series Forecasting Technical Skills: Languages & Frameworks: Python, JavaScript, FastAPI, Flask, Streamlit, HTML, CSS Machine Learning & AI: Machine Learning, Deep Learning, Computer Vision, NLP, LLMs, NL2SQL, Generative AI, Transformers, BERT, GPT-4, ChatGPT, RAG Pipelines, Prompt Engineering, OCR, Model Training and Deployment Libraries & Tools: PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, LightGBM, HuggingFace Transformers, OpenAI API, LangChain, CrewAI, FAISS, Pinecone, Elasticsearch, ChromaDB, Cohere, LSTM, NLTK, Pandas, NumPy, SciPy, Matplotlib, Seaborn, Selenium Data Engineering & Automation: Data Collection, Web Scraping, Cleaning & Preprocessing, Feature Engineering, GitHub Actions, Redis + RQ, Docker Web & Multimedia: OpenCV, MoviePy, Librosa, Wav2Lip, ElevenLabs API Databases: SQL, MongoDB, MySQL Cloud & DevOps: AWS (Lambda, S3, Bedrock, Secrets Manager, SageMaker), Microsoft Azure, Databricks, Git & Version Control Let’s turn your AI ideas into production-ready tools. Reach me on: 📧 Email: vivekprajapati2048@gmail.com

Experience

4 yrs 8 mos
Total Experience
11 mos
Average Tenure
9 mos
Current Experience

Opnlabs pty ltd

Machine Learning Engineer

Sep 2025Present · 9 mos · New South Wales, Australia · Remote

  • Designing and developing AI/ML solutions with focus on compliance, security, and automation.
  • Building and optimising RAG pipelines and fine-tuning LLMs for domain-specific tasks.
  • Deploying sovereign AI models in secure, cloud-native environments.
Generative AIRetrieval-Augmented Generation (RAG)Microsoft AzureLarge Language Models (LLM)LangChainPyTorch+1

The tensors

Machine Learning Engineer

Aug 2024Aug 2025 · 1 yr · Gujarat, India · Remote

  • Currently leading the design and deployment of end-to-end ML systems for tasks such as development of RAG-based chatbots using AWS architecture, model training and deployment for various use-cases.
  • Actively building scalable pipelines for data ingestion, LLM fine-tuning, and real-time inference using tools like Flask, FastAPI, AWS Lambda, Docker, and GitHub Actions.
  • Developing REST APIs, managing cloud infrastructure, and integrating vector databases (ChromaDB, Elasticsearch) to support RAG and semantic search workflows.
  • Continuously iterating on model performance and collaborating with cross-functional teams to deliver production-ready AI features.
Large Language Models (LLM)Machine LearningDeep LearningPythonNatural Language Processing (NLP)Feature Engineering+3

Noble patriarch

Software Developer (Machine Learning)

Apr 2023Jul 2024 · 1 yr 3 mos · Remote

  • Collaborated with the clients, subject matter experts to understand business application and obtain relevant data
  • Designed a workflow/pipelines for building products and solutions with AI as the backbone
  • Data collection, cleaning and preprocessing, model training, model evaluation, deployment, and monitoring.
  • Managed multiple projects, training interns, code review
Large Language Models (LLM)Machine LearningRAGWeb DevelopmentChatbot DevelopmentAmazon Web Services (AWS)+4

Freelance

Machine Learning Engineer

May 2022Mar 2023 · 10 mos · Gujarat, India · Remote

  • Created a data collection pipeline to gather data from IoT devices such as door sensors, room sensors, smart watches and so on.
  • Created a dashboard to gain insights from above data and get an alerts to web or app if subtle changes are detected in the subject's unique sleep patterns, vital signs, and routine.
  • Developed models like speech recognition, face recognition, for various use cases.
  • Developed various solutions for deepfakes like voice cloning, video generation, video hosting for various clients to automate the process of reaching out the leads via web campaigns, and deployed them on AWS.
Machine LearningDeep LearningOptical Character Recognition (OCR)Azure DatabricksPySparkComputer Vision+3

Techexcel ltd

2 roles

Machine Learning Engineer

Oct 2021Mar 2022 · 5 mos · Gandhinagar, Gujarat, India · Remote

  • Created a conversational chatbot for an e-commerce app, landing pages that performs task such as place order, order status, return order, cancel order, search product in stock, connect user to human on request.
  • Structured an end-to-end system with server and backend.
  • Trained model like Rasa NLU and Rasa Core, DIETClassifier which handles intent classification and entity extraction.
Machine LearningPythonChatbot DevelopmentDockerPandasNumPy+1

Machine Learning Intern

Apr 2021Sep 2021 · 5 mos · Gandhinagar, Gujarat, India · Remote

  • Worked closely with the Lead AI Developer on multiple projects to brainstorm the ideas and execute the designed workflow
  • Read research papers on AI and experimented with the latest technologies
  • Contributed to training data creation, intent labeling, and entity annotation for 10+ user intents using Rasa NLU.
  • Gained hands-on experience with NLP pipeline design, chatbot testing, and deploying locally with Docker.
Python (Programming Language)PandasNumPyFlaskData Visualization

Education

Gujarat Technological University (GTU)

Bachelor of Engineering - BE — Mechanical Engineering

Jan 2018Jan 2021

Gujarat Technological University (GTU)

Diploma — Mechanical Engineering

Jan 2015Jan 2018

Jawahar Navodaya Vidyalaya - JNV

HighSchool - CBSE — Class XII (PCM)

Jan 2014Jan 2015

Jawahar Navodaya Vidyalaya - JNV

High School - CBSE — Class X

Jan 2012Jan 2013

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