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Hi, I'm Prasanna Aleti, an AI/ML Engineer with over 4 years of hands-on experience in building and deploying machine learning models in production environments. I specialize in Python, SQL, and leading ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. I'm passionate about developing natural language processing pipelines and working with large language models like GPT and Claude to create explainable and efficient AI systems. I enjoy experimenting with prompt engineering, retrieval-augmented generation workflows, and prototyping user-friendly model interfaces. My work experience spans building scalable MLOps systems using Docker, Kubernetes, MLflow, and cloud platforms such as AWS, Azure, and GCP. I love collaborating with cross-functional teams to solve real-world problems with innovative AI solutions.…Hi, I'm Prasanna Aleti, an AI/ML Engineer with over 4 years of hands-on experience in building and deploying machine learning models in production environments. I specialize in Python, SQL, and leading ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. I'm passionate about developing natural language processing pipelines and working with large language models like GPT and Claude to create explainable and efficient AI systems. I enjoy experimenting with prompt engineering, retrieval-augmented generation workflows, and prototyping user-friendly model interfaces. My work experience spans building scalable MLOps systems using Docker, Kubernetes, MLflow, and cloud platforms such as AWS, Azure, and GCP. I love collaborating with cross-functional teams to solve real-world problems with innovative AI solutions.

Prasanna Aleti

AI Engineer, AI Developer, AI Prompt Engineer, +2

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Hi, I'm Prasanna Aleti, an AI/ML Engineer with over 4 years of hands-on experience in building and deploying machine learning models in production environments. I specialize in Python, SQL, and leading ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. I'm passionate about developing natural language processing pipelines and working with large language models like GPT and Claude to create explainable and efficient AI systems. I enjoy experimenting with prompt engineering, retrieval-augmented generation workflows, and prototyping user-friendly model interfaces. My work experience spans building scalable MLOps systems using Docker, Kubernetes, MLflow, and cloud platforms such as AWS, Azure, and GCP. I love collaborating with cross-functional teams to solve real-world problems with innovative AI solutions.…Hi, I'm Prasanna Aleti, an AI/ML Engineer with over 4 years of hands-on experience in building and deploying machine learning models in production environments. I specialize in Python, SQL, and leading ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. I'm passionate about developing natural language processing pipelines and working with large language models like GPT and Claude to create explainable and efficient AI systems. I enjoy experimenting with prompt engineering, retrieval-augmented generation workflows, and prototyping user-friendly model interfaces. My work experience spans building scalable MLOps systems using Docker, Kubernetes, MLflow, and cloud platforms such as AWS, Azure, and GCP. I love collaborating with cross-functional teams to solve real-world problems with innovative AI solutions.

Available to hire

Hi, I’m Prasanna Aleti, an AI/ML Engineer with over 4 years of hands-on experience in building and deploying machine learning models in production environments. I specialize in Python, SQL, and leading ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. I’m passionate about developing natural language processing pipelines and working with large language models like GPT and Claude to create explainable and efficient AI systems.

I enjoy experimenting with prompt engineering, retrieval-augmented generation workflows, and prototyping user-friendly model interfaces. My work experience spans building scalable MLOps systems using Docker, Kubernetes, MLflow, and cloud platforms such as AWS, Azure, and GCP. I love collaborating with cross-functional teams to solve real-world problems with innovative AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

GenAI Developer at Verizon Wireless Systems

January 1, 2024 - Present

Integrated the Hugging Face Transformers library into a Flask-based local UI for summarization models supporting PDF and DOCX uploads. Developed embedding pipelines using SentenceTransformers with vector storage in ChromaDB and cosine similarity-based retrieval. Created a Retrieval-Augmented Generation workflow enriching user queries with context. Prototyped an interactive front-end with Gradio exhibiting model token usage and confidence scores. Experimented with prompt tuning parameters to balance fluency and factual grounding. Automated embedding drift calculations for re-indexing. Connected backend to OpenAI GPT-3.5 API with error handling and logging. Authored evaluation scripts comparing generated summaries using ROUGE and BLEU scores. Set up GitHub Actions CI pipelines for linting and unit testing. Documented architecture and processes on Confluence wiki for team onboarding.

Associate ML Engineer at Coforge

July 31, 2022 - August 1, 2025

Collected and cleaned sensor telemetry data using Python and automated ingestion pipelines with Apache Airflow. Built and tuned a Random Forest classifier to detect early warning signals from fiber cut incident histories. Used SHAP for model explainability to build stakeholder trust. Created Spark ETL pipelines to process daily telemetry logs stored in AWS S3. Established monitoring and alerting with Airflow SLA checks and Slack notifications. Integrated model outputs into a Plotly Dash dashboard for risk visualization by region and route. Collaborated with engineers to reduce false positives and alerts noise by 35%. Designed a FastAPI REST API for real-time predictions from edge sensor data. Conducted weekly stakeholder walkthroughs to refine model thresholds and improve field effectiveness. Helped reduce fiber outages by 22% over 3 months through early risk detection and preventative actions.