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Hello! I am Nikitha Akula, a Python Developer and AI/ML Engineer with 6+ years of experience delivering scalable software, ML solutions, and AI-driven automation. I specialize in Python, SQL, OOP, data structures, REST APIs, cloud-native development, and building end-to-end AI pipelines. I have hands-on experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas, and NumPy, and I develop Generative AI solutions using LLMs, RAG, LangChain, and prompt engineering. I am passionate about semantic search using vector databases like FAISS and Pinecone, and I enjoy turning complex data into actionable insights. I've consistently collaborated with cross-functional teams in Agile environments, delivering scalable APIs and microservices (FastAPI, Flask) and integrating cloud services (Azure OpenAI, AWS SageMaker, Bedrock, Vertex AI). My work spans data engineering, ETL, data warehousing, and large-scale data processing. I am proficient with Docker, Kubernetes, MLflow, Jenkins, and CI/CD. I thrive in environments that challenge me to optimize, monitor, and secure AI-powered systems, and I love turning ideas into practical, measurable results.…Hello! I am Nikitha Akula, a Python Developer and AI/ML Engineer with 6+ years of experience delivering scalable software, ML solutions, and AI-driven automation. I specialize in Python, SQL, OOP, data structures, REST APIs, cloud-native development, and building end-to-end AI pipelines. I have hands-on experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas, and NumPy, and I develop Generative AI solutions using LLMs, RAG, LangChain, and prompt engineering. I am passionate about semantic search using vector databases like FAISS and Pinecone, and I enjoy turning complex data into actionable insights. I've consistently collaborated with cross-functional teams in Agile environments, delivering scalable APIs and microservices (FastAPI, Flask) and integrating cloud services (Azure OpenAI, AWS SageMaker, Bedrock, Vertex AI). My work spans data engineering, ETL, data warehousing, and large-scale data processing. I am proficient with Docker, Kubernetes, MLflow, Jenkins, and CI/CD. I thrive in environments that challenge me to optimize, monitor, and secure AI-powered systems, and I love turning ideas into practical, measurable results.

Nikitha Akula

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hello! I am Nikitha Akula, a Python Developer and AI/ML Engineer with 6+ years of experience delivering scalable software, ML solutions, and AI-driven automation. I specialize in Python, SQL, OOP, data structures, REST APIs, cloud-native development, and building end-to-end AI pipelines. I have hands-on experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas, and NumPy, and I develop Generative AI solutions using LLMs, RAG, LangChain, and prompt engineering. I am passionate about semantic search using vector databases like FAISS and Pinecone, and I enjoy turning complex data into actionable insights. I've consistently collaborated with cross-functional teams in Agile environments, delivering scalable APIs and microservices (FastAPI, Flask) and integrating cloud services (Azure OpenAI, AWS SageMaker, Bedrock, Vertex AI). My work spans data engineering, ETL, data warehousing, and large-scale data processing. I am proficient with Docker, Kubernetes, MLflow, Jenkins, and CI/CD. I thrive in environments that challenge me to optimize, monitor, and secure AI-powered systems, and I love turning ideas into practical, measurable results.…Hello! I am Nikitha Akula, a Python Developer and AI/ML Engineer with 6+ years of experience delivering scalable software, ML solutions, and AI-driven automation. I specialize in Python, SQL, OOP, data structures, REST APIs, cloud-native development, and building end-to-end AI pipelines. I have hands-on experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas, and NumPy, and I develop Generative AI solutions using LLMs, RAG, LangChain, and prompt engineering. I am passionate about semantic search using vector databases like FAISS and Pinecone, and I enjoy turning complex data into actionable insights. I've consistently collaborated with cross-functional teams in Agile environments, delivering scalable APIs and microservices (FastAPI, Flask) and integrating cloud services (Azure OpenAI, AWS SageMaker, Bedrock, Vertex AI). My work spans data engineering, ETL, data warehousing, and large-scale data processing. I am proficient with Docker, Kubernetes, MLflow, Jenkins, and CI/CD. I thrive in environments that challenge me to optimize, monitor, and secure AI-powered systems, and I love turning ideas into practical, measurable results.

Available to hire

Hello! I am Nikitha Akula, a Python Developer and AI/ML Engineer with 6+ years of experience delivering scalable software, ML solutions, and AI-driven automation. I specialize in Python, SQL, OOP, data structures, REST APIs, cloud-native development, and building end-to-end AI pipelines. I have hands-on experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas, and NumPy, and I develop Generative AI solutions using LLMs, RAG, LangChain, and prompt engineering. I am passionate about semantic search using vector databases like FAISS and Pinecone, and I enjoy turning complex data into actionable insights.

I’ve consistently collaborated with cross-functional teams in Agile environments, delivering scalable APIs and microservices (FastAPI, Flask) and integrating cloud services (Azure OpenAI, AWS SageMaker, Bedrock, Vertex AI). My work spans data engineering, ETL, data warehousing, and large-scale data processing. I am proficient with Docker, Kubernetes, MLflow, Jenkins, and CI/CD. I thrive in environments that challenge me to optimize, monitor, and secure AI-powered systems, and I love turning ideas into practical, measurable results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Python Developer / AI-ML Engineer at American Express

November 1, 2024 - Present

Designed and developed scalable Python applications supporting AI-powered analytics and business intelligence initiatives. Built RESTful APIs using FastAPI and Flask to expose ML models and enterprise analytics services. Implemented Retrieval-Augmented Generation (RAG) solutions using LangChain and Azure OpenAI for intelligent document search and contextual Q&A. Implemented semantic search with embeddings and vector databases (FAISS, Pinecone) and developed event-driven microservices to process high-volume transactional data. Integrated OAuth 2.0 and JWT-based authentication to secure APIs across enterprise environments. Collaborated with cybersecurity and engineering teams to monitor and mitigate bot traffic and apply security controls.

Python Developer / Machine Learning at Ally Financial

January 1, 2024 - October 31, 2024

Developed ML models for customer segmentation, risk analysis, forecasting, and operational optimization. Built predictive analytics using Scikit-learn, XGBoost, Random Forest, and Logistic Regression. Designed ETL pipelines to process large-scale financial datasets; performed feature engineering, data cleansing, and transformation to improve model accuracy. Built and exposed RESTful APIs with FastAPI for model inference; implemented unit testing with PyTest; developed real-time processing using Kafka and cloud services (AWS). Implemented security measures to mitigate bot traffic and unauthorized access.

Python Developer at EPAM Systems

May 1, 2019 - December 31, 2022

Developed scalable Python applications for enterprise reporting, analytics, and data processing. Designed ETL pipelines and data ingestion frameworks; built reusable Python libraries for data transformation and validation. Implemented APIs with Flask and FastAPI; integrated Apache Kafka for asynchronous processing; delivered dashboards with Power BI and Tableau. Containerized applications with Docker and deployed to Kubernetes; contributed Java backend services with Spring Boot; utilized Redis caching and Linux automation scripts. Supported production deployments and performance tuning.