Machine Learning Engineer

JAHNAVI KACHHIA

Fremont, California ***********@*****.*** 714-***-****

https://github.com/JK186 https://www.linkedin.com/in/JK186 SUMMARY

Experienced Machine Learning Engineer with over 7 years of expertise in designing, developing, and deploying scalable AI and ML solutions. Proficient in production-grade model optimization, cloud integration, and distributed systems, I excel at solving complex problems across diverse domains, including NLP, computer vision, and optimization. With a strong foundation in MLOps, data engineering, and cutting-edge machine learning frameworks, I thrive in collaborative, fast-paced environments delivering innovative, impactful results. WORK EXPERIENCE

ML Software Engineer 04/2024 - Present

Meta

● Built and fine-tuned multi-modal models (MMLMs) that integrate text, image, and other modalities to create robust AI systems for cross-functional use cases.

● Demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.

● Fine-tuned Meta's Llama large language models (LLMs) on domain-specific data for tasks like text generation, summarization, and translation, improving task-specific performance by 15%.

● Deployed large-scale ML pipelines using AWS, GCP, Kubernetes, and Docker. Automated CI/CD workflows with GitHub Actions and Terraform.

● Developed high-performance solutions with C++, Python, PHP, and Bash scripting.

● Enhanced ML model performance using quantization, pruning, and tools like MLflow. Reduced latency and ensured scalability for production systems.

Machine Learning Engineer 04/2021 - 04/24

Tata Consultancy Services - End Client Apple

● Integrated NLP based automated question-answer system in a slack channel that increased users satisfaction by 15% resulting in 20% more traffic handling capacity.

● Solid knowledge of word embeddings techniques such as Word2Vec, Glove, TF-IDF, BERT

● Data mining HDFS files and performed data cleaning and feature selection using MLLib package in PySpark

● Extensively working on Natural Language Processing (NLP) libraries such as Spacy, NLTK,Gensim, Flair, and sklearn-crfsuite

● Successfully developed and implemented NLP solutions for a variety of tasks such as Entity Recognition and Extraction, Sentiment Analysis, Text Summarization and Machine Translation.

● Deployed and monitored machine learning models in production using Docker and Kubernetes Data Analyst 02/2020 - 03/2021

Data Application Lab

● Transformed complex data using Python, SQL, Tableau, Spark, R, and MATLAB to generate actionable insights.

● Led the full data science lifecycle, from data acquisition and cleaning to statistical modeling and data visualization.

● Designed models with 88% accuracy to detect credit card defaults, reducing bank expenses by 23%.

● Applied data science processes such as model building, feature engineering, and ML integration.

● Analyzed raw data (e.g., HTML, JSON, CSV) and identified key structures and relationships.

● Gained hands-on experience with AWS (EC2, S3, EMR) and Google Cloud for provisioning virtual clusters.

● Strong expertise in Apache Spark, Hadoop, MapReduce, and HDFS for scalable data processing. Machine Learning Researcher 05/2019 - 05/2020

California State University Fullerton

● Brain-Computer Interfaces (BCI) with ML: Classified primitive shapes from EEG signals and converted them into CAD files, enabling an automatic 3D printer to create shapes based on human thoughts.

● Deep Learning Expertise: Implemented models like CNN, RNN, and LSTM using TensorFlow and Keras.

● ML Techniques: Skilled in supervised and unsupervised learning (e.g., clustering, classification, PCA, decision trees, KNN, SVM, XGBoost), optimization, and time series analysis.

● Computer Vision: Developed real-time object tracking by segmenting images into components like hands, face, and upper body.

Machine Learning Engineer 08/2015 - 11/2016

Envision Industrial Automation

● Implemented Predictive Models to identify potential target markets for a new product launch, resulting in a 30% increase in sales

● Developed interactive Data Visualisations using Plotly, Tableau to communicate insights to stakeholders

● Developed and implemented machine learning models to optimise pricing and product recommendations, resulting in a 10% increase in revenue

● Collaborated with cross-functional teams to identify business requirements and deliver ML solutions for customer-facing applications

● Conducted feature selection and engineering using Python libraries like Pandas, NumPy, SciPy, Scikit-learn. EDUCATION

Master of Science in Computer Engineering 08/2018 - 05/2020 California State University Fullerton GPA 3.9

Machine Learning Professional 10/2019 - 03/2020

Stanford University Certified

Bachelor of Engineering in Electronics and Communication 08/2009 - 05/2013 Madhuben and Bhanubhai Patel Women’s Inst. Of Eng. GPA 3.2 SKILLS

Programming Languages: Python, PostgreSQL, PySpark, MATLAB, C++, Tableau Soft Skills: Problem-solving, Critical thinking, Communication and Time-management Technical Specialty: Docker, Kubernetes, Git, AWS, Google Cloud, Spark, Hadoop, Excel, PowerPoint ML Libraries: NLTK, SpaCy, Flair, SciPy, Keras, Matplotlib, OpenCV, Pandas, PyTorch, Seaborn, TensorFlow Mathematics: Linear Algebra, Matrices, Calculus, Probability, and Statistics CERTIFICATES

● Fundamentals of Deep Learning for Computer Vision certified by NVIDIA

● Getting Started with AWS Machine Learning certified by AWS RESEARCH PUBLICATIONS

● “EEG-based Image Classification using Machine Learning Algorithms”, 2021 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2021

● “Deep Learning Enhanced BCI Technology for 3D Printing,” 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA, 2020

● “Automated Radar Signal Analysis Based on Deep Learning”, 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2020

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