Akshay Kumar Gangam

AI Researcher

United States12 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

10+ years of experience in AI and ML.
Expert in developing scalable MLOps frameworks.
Proven track record in enhancing operational efficiency.

Stackforce AI infers this person is a Fintech and AI solutions expert with a strong focus on MLOps and machine learning.

Contact

Skills

Core Skills

Artificial Intelligence (ai)MlopsMachine LearningData ScienceData Engineering

Other Skills

LLMsLangChainStable DiffusionGraph DatabasesAWSPythonOpenAIHugging FaceEnsemble CNNsTemporal Convolutional NetworksDatabricksAWS SageMakerREST APIsimage classificationface recognition

About

Results-driven AI Engineer with 10+ years of expertise in developing and deploying advanced machine learning models and AI solutions across banking, finance, and healthcare industries. Proficient in end-to-end ML pipelines, deep learning, NLP, computer vision, and MLOps. Skilled in delivering high-impact solutions that enhance operational efficiency, drive innovation, and boost ROI.

Experience

12 yrs 1 mo

Total Experience

2 yrs

Average Tenure

3 yrs 2 mos

Current Experience

Cloudflare

Sr Artificial Intelligence Engineer

Mar 2023 – Present · 3 yrs 2 mos · New York City

Led AI and Web3 initiatives, including regulatory compliance and systemic risk
assessment.
Developed advanced generative AI tools using LLMs (GPT, RAG) for chatbot optimization
in English and Portuguese markets.
Created MLOps frameworks for end-to-end deployment of models, ensuring scalability and
reliability.
Conducted quality audits and built annotation systems for data labeling across text,
images, and videos.
Key Technologies: LLMs, LangChain, Stable Diffusion, Graph Databases, AWS, Python.

LLMsLangChainStable DiffusionGraph DatabasesAWSPython+2

Tyler technologies

Artificial Intelligence Engineer

Nov 2019 – Feb 2023 · 3 yrs 3 mos · Plano

Designed and deployed ML models (100M+ parameters) using OpenAI and Hugging Face
transformers.
Improved urban mapping accuracy (92%) with Ensemble CNNs for detecting building
footprints.
Automated real-time predictions using Temporal Convolutional Networks for grass
growth and air quality analysis.
Streamlined MLOps processes to handle over 500 GB of data with Databricks and AWS
SageMaker.
Key Achievements: Reduced model training time by 30%; increased prediction accuracy
for financial time series.

OpenAIHugging FaceEnsemble CNNsTemporal Convolutional NetworksDatabricksAWS SageMaker+2

Fortinet

Machine Learning Engineer

Oct 2018 – Nov 2019 · 1 yr 1 mo · Sunnyvale

Built AI-powered REST APIs for image classification, face recognition, and optical
character recognition.
Deployed scalable solutions using Docker and asynchronous processing with FastAPI.
Achieved <90% accuracy for 90+ distinct image classes with inference times of 50–80ms

REST APIsimage classificationface recognitionoptical character recognitionDockerFastAPI+1

Intuit

Machine Learning/Data Scientist

Apr 2016 – Oct 2018 · 2 yrs 6 mos · Mountain View

Enhanced performance of autonomous vehicle perception systems through GPU
optimization (~10x).
Developed scalable map creation models and predictive modules for molecular
biomarkers.
Collaborated on big data pipelines using Hive, Spark, and Kafka to support real-time data
streaming.

GPU optimizationbig data pipelinesHiveSparkKafkaMachine Learning

Astera labs

Data Scientist

Feb 2015 – Mar 2016 · 1 yr 1 mo · Santa Clara

Increased revenue by 8% through predictive customer churn models.
Implemented advanced NLP techniques (Top2Vec, BERT) for email categorization,
reducing HR traffic by 30%.

predictive customer churn modelsNLP techniquesTop2VecBERTData Science

Ibm

Data Engineer

Jan 2014 – Jan 2015 · 1 yr · New York City · On-site

Built efficient data pipelines and cloud architectures using Azure services.
Conducted EDA and statistical analysis to optimize business performance metrics.

data pipelinescloud architecturesAzure servicesData Engineering