Summary
Overview
Work History
Education
Skills
Timeline
Generic

Manushree Buyya

Dallas

Summary

Junior AI Developer with hands-on experience in designing and implementing AI-driven solutions for real-world applications. Skilled in building and optimizing computer vision models for damage detection and condition prediction. Proficient in real-time data processing, model evaluation, and performance tuning using Python and YOLO frameworks. Experienced in collaborating on API integrations with .NET teams to automate and enhance report generation workflows. Passionate about leveraging AI to improve efficiency, accuracy, and automation in business processes.

Overview

3
3
years of professional experience

Work History

Junior AI Developer

Reposystems AI
The Colony
06.2025 - Current
  • Designed and implemented an AI-based car damage prediction system using dual YOLO models: one for car-part detection and another for damage identification, producing automated car-condition reports.
  • Built a data pipeline integrating Roboflow datasets, YOLOv8 training, and post-processing logic to generate consolidated damage summaries.
  • Optimized inference on NVIDIA RTX GPU with CUDA Toolkit & cuDNN, achieving faster prediction times.
  • Collaborated with backend developers to integrate AI outputs into .NET APIs, supporting real-time report generation.
  • Contributed to API-related tasks such as validation logic, response testing, and bug fixes in ASP.NET Core services.
  • Participated in code reviews and model version control for continuous deployment and improvement.

Python Developer

Cognizant
Hyderabad
08.2022 - 12.2022
  • Designed, developed, and maintained Python-based applications to support automation, data processing, and backend logic across multiple projects.
  • Created and optimized RESTful APIs using FastAPI and Flask, integrating with databases and third-party services for seamless data exchange.
  • Implemented data validation, transformation, and storage workflows using Pandas, NumPy, and SQL to improve system reliability.
  • Collaborated with cross-functional teams to define requirements, build new modules, and ensure timely project delivery.
  • Developed scripts for task automation, including data extraction, log analysis, and report generation, reducing manual work and improving accuracy.
  • Improved application performance by profiling Python code, refactoring inefficient sections, and introducing caching and multiprocessing where required.
  • Contributed to unit testing and debugging, maintaining clean, well-documented, and reusable code following PEP 8 standards.
  • Assisted in deployment automation using Docker and Git, ensuring smooth CI/CD integration and version control.

Education

Master of Science - Computer Science

University of North Texas
Denton, TX
12-2024

Bachelor of Science - Electronics And Communication

Sreenidhi Institute of Science And Technology
Hyderabad
05-2022

Skills

Programming Languages: Python, SQL, C#, JavaScript (basic)

Machine Learning & NLP: Scikit-learn, SpaCy, NLTK, Transformers (Hugging Face), SentenceTransformers, OpenAI API, LangChain

Deep Learning Frameworks: PyTorch, TensorFlow, Keras

Embeddings & Vector Search: FAISS, Pinecone, ChromaDB, OpenAI Embeddings, Similarity Search

Data Processing & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Data Cleaning & Preprocessing

Entity Extraction & Ontology Mapping: Named Entity Recognition (NER), RxNorm, SNOMED-CT, ICD-10, MeSH (familiarity with medical data pipelines)

Risk Triage & Classification: Confidence Scoring, Rule-Based Classification, Clustering (K-Means, DBSCAN, Hierarchical), Anomaly Detection

Model Serving & APIs: FastAPI, Flask, RESTful API Development, JSON Data Handling

Prompt Engineering & LLM Integration: Prompt Tuning, Chain-of-Thought Pipelines, Template-based Script Generation (using GPT Models)

Evaluation & Metrics: Precision, Recall, F1-Score, Calibration, A/B Testing

MLOps & Deployment: Docker, Git, Model Versioning, MLflow, CI/CD, Drift Monitoring

Databases & Storage: PostgreSQL, MongoDB, Vector Databases, ElasticSearch

Cloud & Tools: AWS S3/EC2, Azure ML, Google Cloud AI, Jupyter, VS Code, GitHub

Timeline

Junior AI Developer

Reposystems AI
06.2025 - Current

Python Developer

Cognizant
08.2022 - 12.2022

Master of Science - Computer Science

University of North Texas

Bachelor of Science - Electronics And Communication

Sreenidhi Institute of Science And Technology
Manushree Buyya