Machine Learning Engineer

TEJASWI JAVVADI

Machine Learning / Genarative AI developer

310-***-**** ****.*******@*****.*** https://www.linkedin.com/in/teja-javvadi-199bb648/ Los Angeles,CA EXPERIENCE

Senior Machine Learning Engineer

LTIMindtree

05/2022 - 01/2025 Los Angeles, United States

Project 1: Chat with PDFs – RAG Implementation

Client: Unilever

Developed a RAG app using Azure OpenAI for Unilever, enhancing PDF chat capabilities.

Implemented FAISS database for efficient vector similarity search, significantly boosting document retrieval speed and reducing processing time for scalable semantic search

Built a Streamlit UI for user interaction, launching via Azure Functions. Integrated GitHub Copilot into daily development workflow to accelerate coding, reduce boilerplate, and improve code quality across Python, JavaScript, and SQL projects.

Enhanced chatbot interactions by 30% using NLP pipelines in Python and spaCy/transformers.

Integrated conversational bots with CRM and ERP systems for automated workflows.

Project 2: Multi-language Invoice Extractor App – RAG & Generative AI Client: Ford Motors

Developed an invoice extraction application leveraging Generative AI (RAG) to process invoices in multiple languages.

Leveraged multimodal models like Google Generative AI Vision (Gemini) and Azure OpenAI for advanced document understanding and text extraction.

Leveraged GitHub Copilot for rapid prototyping and AI-assisted code generation, resulting in a 30% reduction in development time for feature implementation and debugging.

Developed and maintained custom NLP pipelines using Python and spaCy/transformers to enhance intent recognition accuracy and entity extraction, improving user satisfaction by 30% across chatbot interactions. Integrated conversational bots with enterprise systems (e.g., CRM, ERP, and internal APIs) using RESTful services and webhooks, enabling automation of customer service, HR, and IT support workflows. Machine Learning Engineer

Quantiphi

07/2021 - 05/2022 Los Angeles, United States

Client: Ford Connected Cars

Developed a custom data drift detection algorithm to identify shifts in data distribution between the training and production environments, ensuring model performance stability

Monitored key feature changes and triggered automated model retraining when drift exceeded a predefined threshold

Utilized machine learning algorithms, NLP, and classification techniques to analyse drift patterns and their impact on model accuracy Designed a real-time drift monitoring pipeline on GCP, integrating with cloud storage (GCS Buckets) for scalable data handling Applied recommendation system techniques and language models

(ChatGPT, Azure AI) to enhance drift analysis and mitigation strategies SUMMARY

As an AI/ML developer with 8+ years of experience

in Information Technology with a focus on Data

Science & Analytics, Artificial Intelligence, Machine Learning, and Business Analysis. Expertise in

designing and implementing Generative Al

solutions using platforms such as Azure Machine

Learning Studio, Azure Databricks,unity catalog,

Azure OpenAI, Anthropic, Meta, Google, and

Amazon to meet diverse client needs. Experienced

in developing and optimizing machine learning

algorithms, including supervised and unsupervised

models, for predictive analytics and Al driven

solutions.

SKILLS

Agile Airflow AWS AWS Redshift

AWS SageMaker Azure Azure Cloud

Azure Databricks Azure Devops

Azure Functions

Azure Machine Learning CRM

Databricks Deep Learning

Dialogflow Docker ERP ETL

GCP Git GitHub GitLab

Jenkins Jupyter Jupyter Notebook

Keras Kubernetes Linux

Unix Shell Scripting MatplotLib

Microsoft Power BI MLflow MLOps

NLP Numpy Pandas PostgreSQL

Predictive Analytics pySpark

Python

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EXPERIENCE

Machine Learning Engineer

Infor

08/2017 - 04/2021 Atlanta, United States

Project 1: Developed a model to classify whether the text entered in the search bar is an actionable sentence, a crucial first step in recommending similar items

Project 2: Developed a Face Mask Detection system for live streams and offline videos/images, using face identification and mask classification models to detect whether individuals are wearing masks, with bounding boxes and probability scores

EDUCATION

Bachelor of Technology in Electronics and

Comunications

Jawaharlal Nehru Technological University

2009 - 2013 India(JNTUH)

Master of Business Administration

KL University

2013 - 2015 India

CERTIFICATIONS

Certificate Name

Building Agentic RAG with Llamaindex by

DeepLearning.ai

STRENGTHS

Collaboration

Excellent teamwork and communication

skills, with a track record of successfully

working with cross-functional teams

Attention to Detail

Strong attention to detail, ensuring data

accuracy and quality in all aspects of BI

development and analysis.

Adaptability

Quick learner with the ability to adapt to new

technologies and frameworks, ensuring up-

to-date knowledge in the evolving BI

landscape.

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