Machine Learning Engineer

BOSTON, MA, USA•*****.****.*****@*****.***•+1-617-***-****

KWAME NANI

Machine Learning Engineer

PROFESSIONAL SUMMARY

Seasoned Machine Learning Engineer with 9 years of experience in developing and deploying sophisticated AI solutions. Expertise spans API development, workflow automation, and performance optimization, with a strong focus on AI model implementation, including deep learning, natural language processing, and computer vision. Proficient in Retrieval-Augmented Generation (RAG) techniques, enhancing the precision and relevance of AI-driven responses, and adept at designing intelligent agents and autonomous systems.

Demonstrates advanced skills in cloud architecture, particularly with AWS SageMaker, and has a proven track record of reducing latency and enhancing system reliability through effective cloud solutions and security best practices. Highly experienced in leveraging Python, Kubernetes, and various machine learning frameworks to build scalable, efficient systems and committed to driving innovation and efficiency through cutting-edge technology and optimized workflows.

EMPLOYMENT HISTORY

SENIOR AI ENGINEER

Cisco (contract)

Nov 2023 -

Present San Jose, CA, USA

Pioneered RAG solutions, optimizing LLM performance for chatbots. Implemented model reduction techniques, enhancing production efficiency and lowering latency.

Engineered robust data validation and deployment pipelines, leveraging Docker, Kubernetes, and Istio for efficient model serving and automated deployments.

Developed state machines with AWS Step Functions, orchestrating complex workflows. Built automated LLM testing, ensuring quality across user interactions.

Constructed secure API using FAST API, implementing comprehensive security measures, logging, and monitoring for enhanced data protection and system reliability.

Spearheaded Azure-based data engineering projects, integrating various services to streamline workflows, significantly reduce latency, and enable real-time analytics.

SENIOR MACHINE LEARNING ENGINEER

Tala

Sep 2022 - Sep 2023

Santa Monica, CA, USA

Optimized Snowflake queries, saving Tala $7 million annually. Refactored inefficient queries and implemented caching to reduce database reads.

Transformed machine learning model deployment processes by leveraging Istio and Argo, reducing deployment time from 6 weeks to 1 week. Successfully implemented canary and Blue-Green deployment strategies, enhancing rollout efficiency and minimizing risk.

Accelerated model training from 2 months to 2 weeks by creating daily cron jobs for data snapshots, transformations, and S3 storage.

Led end-to-end ML pipeline implementation with Kubeflow and AWS SageMaker, boosting training efficiency and enhancing scalability across cloud environments.

Leveraged AWS SageMaker for rapid model delivery, facilitating team experiment sharing and automating model training workflows for production.

DATA SCIENCE ENGINEER

Vertify Data

Jan 2022 - Aug 2022

Austin, TX, USA

Engineered and productionized ML model using Python, estimating sales opportunity closure probability and recommending optimal actions for each prospect.

Conceptualized and implemented Ideal Customer Analytics product algorithm, designing intuitive dashboard for enhanced user experience.

Led cloud solution deployment using Azure, integrating DevOps, AKS, and ML services, resulting in significant cost reduction and faster product releases.

Fostered cross-functional teamwork to align data science initiatives with business objectives, driving product quality and customer satisfaction improvements.

DATA SCIENCE ENGINEER

Eco Energy LLC

Jan 2017 - Dec 2019

Accra, Ghana

Engineered data pipelines using Pyspark and Kafka, streamlining data flow from transactional to analytical databases, saving clients over 600 hours monthly.

Implemented Apache Airflow to automate data processing lifecycle, enabling real-time and hourly batch processing for mission-critical systems.

Optimized data processing workflows, significantly reducing query execution time and enhancing decision-making efficiency for clients.

PRODUCTION ANALYST

Kasapreko Company Limited

Sep 2015 - Dec 2016

Accra, Ghana

Conducted A/B testing using R, applying statistical concepts to optimize products, resulting in a 10% revenue increase and enhanced customer satisfaction.

Developed predictive models with Python Scikit-Learn, establishing correlations between downtime and productivity, boosting production floor efficiency from 65% to 78%.

Pioneered a real-time dashboard using Tableau and JavaScript API, providing instant visibility into critical KPIs and facilitating data-driven decision-making.

Implemented regression models to forecast bottling machine lifespan, enabling proactive maintenance scheduling and minimizing unexpected downtimes.

Partnered with cross-functional teams to translate complex data insights into actionable strategies, driving continuous improvement in production processes.

EDUCATION

Phd. Computational Science and Engineering Harrisburg University

Mar. 2025 - APR 2029

Harrisburg, PA, USA

Applying advanced scientific methodologies, computational algorithms, and system-level modeling to extract meaningful insights from structured, semi-structured, and unstructured datasets across diverse domains.

STATISICAL MODELLING AND APPLIED MACHINE INTELLIGENCE

Northeastern University

Jan 2020 - Jul 2021

Boston, MA, USA

&Leveraged scientific methods, processes, algorithms, and systems to extract actionable insights from structured, semi- structured, and unstructured data.

&Developed end-to-end machine learning models, customized as data products for various industry verticals.

BACHELOR OF SCIENCE IN COMPUTER ENGINEERING

Kwame Nkrumah University of Science and Technology

Sep 2011 - Jul 2015

Kumasi, Ghana

Integrating several fields of computer science and electronic engineering required to develop computer hardware and software.

SKILLS

API Development,Workflow Automation,Performance Optimization,Cloud Architecture,Security Best Practices, Database Management,CI/CD (Jenkins, Docker, Ansible, Terraform, Kubernetes, GIT),

PROGRAMMING LANGUAGES(Python),DISTRIBUTED COMPUTING AND BIG DATA(Hadoop, Kafka,Spark),

SOFTWARE ENGINEERING (Async Programming, Version Control, Authentication and Authorization, Design Patterns, API development, Testing, Database Interactions, HTTP and networking).,

DEEP LEARNING FRAMEWORKS(TensorFlow, PyTorch),DEPLOYMENT(Helm, Kubernetes, Istio, Jenkins, Argo CD)., GENERATIVE AI (Langchain, Llama-Index, Qdrant, Activeloop).,

MODEL DEVELOPMENT AND SERVING (Mflow, Kubeflow),CLOUD(AWS, GCP, Azure),Computer Vision, Transformers,Technical Leadership,Geospatial Data,Critical Thinking.

INTERNSHIPS

TECH FOR GOOD

Machine Learning Engineer(Jun 2021 - Jan 2022)

Implementing genetic algorithms and python’s xgboost to efficiently match drivers to riders in our Neer mobile application making life easier. Building end-to-end ML systems using third-party tools like AWS sagemaker and Sagemaker Neo for edge model deployment.

KEVA HEALTH

Machine Learning Engineer(Jan 2021 - Jul 2021)

Built a real-time product usage analytics dashboard using Tableau, Python and Amazon Redshift to track metrics on patients and health professionals that were relevant to the company this enables Keva Health to identify which services are underperforming and come up with quick solutions to solve these problems.

•Developed and deployed an AI model to track environmental and food triggers of Asthma patients, Using a pre- trained OCR model to identify food contents on labels inimical to the health of Asthmatic patients and neural network models to detect environmental conditions unfavorable for Asthmatic patients.

Contact this candidate