Open to opportunities

Sai Jahnavi Damacharla

@saijahnavidamacharla

AI/ML Data Scientist building production-grade RAG, predictive analytics, and cloud-based ML pipelines for enterprise automation.

United States

Message

What I'm looking for

I’m looking for an AI/ML role where I can build production RAG and predictive analytics systems on cloud platforms, partner with cross-functional teams, and continuously improve latency, accuracy, and automation impact.

I’m an AI/ML Data Scientist who builds AI workflows that turn messy operational data into reliable, automated decisions. At Samni Systems, I developed AI-powered RAG and predictive analytics workflows using Python, LLM-integrated ML pipelines, and cloud-based data systems—reducing manual processing effort by 35% and improving decision-making efficiency. I also shipped production-grade AI inference systems with cloud APIs and retrieval pipelines, cutting processing latency by 30% while supporting high-volume analytical workloads.

I lead end-to-end AI/ML projects as Data Science Projects Lead (RA) at COMET Lab, where I improve model accuracy by 15–25% across use cases and accelerate research-to-prototype delivery with modular architecture, AWS/GCP deployments, and CI/CD pipelines. I’ve also built GeoAI solutions in Python with ArcGIS Pro, GeoPandas, PyTorch, ArcPy, and SQL—improving geospatial feature extraction efficiency by 40% and reducing manual processing time by 60%—and I bring that same production mindset to recommendation systems, computer vision, and intelligent web applications.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Data Scientist

Current

Samni Systems

Jan 2026 - Present (6 months)

Built AI-powered RAG and predictive analytics workflows using Python and LLM-integrated ML pipelines to automate enterprise operations, reducing manual processing effort by 35% and improving decision-making efficiency. Developed production-grade AI inference systems with cloud APIs and retrieval pipelines, reducing processing latency by 30% for high-volume analytical workloads.

Python LLM Retrieval Augmented Generation (RAG)Predictive Analytics ML Pipelines AI Inference Performance Optimization Automation

AI- Data Science Projects Lead (RA)

COMET Lab, Indiana University

Aug 2024 - Dec 2025 (1 year 4 months)

Led end-to-end AI/ML projects including recommendation systems and predictive modeling using Python and scikit-learn, improving model accuracy by 15-25% across use cases. Coordinated cross-functional teams and implemented modular architectures with AWS/GCP and CI/CD pipelines to deliver production-ready, scalable releases.

Python scikit learn Recommendation Systems predictive modeling Git Modular Architectures AWS GCP CI CD Pipelines Cross Functional Collaboration

Geospatial AI Research Intern

Christopher B. Burke Engineering LLC

May 2025 - Aug 2025 (3 months)

Developed GeoAI workflows using Python, ArcGIS Pro, GeoPandas, and PyTorch to analyze satellite imagery and spatial datasets, improving geospatial feature extraction efficiency by 40%. Built ML/computer vision models for land-use classification and object detection (>88% validation accuracy) and automated geospatial preprocessing and QA using ArcPy and SQL, reducing manual processing time by 60% a

Python ArcGIS Pro Geopandas PyTorch Satellite Imagery Spatial Data Analysis Machine Learning Computer Vision Land Use Classification Object Detection ArcPy SQL

Data Scientist

Edunock Technologies

Jan 2020 - Aug 2024 (4 years 7 months)

Built end-to-end web applications integrating machine learning models with scalable backend systems as an AI/ML full-stack developer. Developed data-driven features and APIs, created a recommendation/automation module, and used CI/CD pipelines to enhance platform functionality and user experience.

Machine Learning Full Stack Developer Web Applications API Development Recommendation Systems CI CD Pipelines Backend Systems

Education

Degrees, certifications, and relevant coursework

Indiana University Indianapolis

Master's in Applied Data Science, Applied Data Science

Activities and societies: Professional Development Lead, Student Club of Data Science and Machine Learning, IUI (Oct 2024–Dec 2025).

Completed graduate studies in Applied Data Science with coursework in Machine Learning, Computer Vision, Database Design, Deep Learning, and Cloud Computing.

Bapatla Engineering College

Bachelor of Technology in Computer Science Engineering, Computer Science Engineering

Earned a Bachelor of Technology in Computer Science Engineering with coursework in Probability & Statistics, Data Structures & Algorithms, Web Technologies, Full-Stack Development, and NLP.