# Pradnya Patil

> AI Software Engineer | MSc in Applied Artificial Intelligence | Machine Learning, Data Science, Generative AI, LLMs, Agentic AI

Location: London, England, United Kingdom
Profile: https://flows.cv/pradnya

With a passion for AI and machine learning, I bring over 9 years of experience in software development and data-intensive solutions. My journey has been marked by solving complex issues with multi-layered data and building robust software solutions. I thrive on transforming intricate challenges into streamlined, efficient processes.

My expertise lies in building end-to-end ML pipelines, feature engineering, and predictive modelling. I've developed skills in generative AI, LLMs, RAG, and agentic AI. As an AI Software Engineer, I've contributed to projects that enhance safety through AI-driven insights and automation. My work emphasises trustworthiness and explainable AI to ensure transparency and reliability.

I have hands-on experience in designing, developing, and optimising ML algorithms. My technical skills include proficiency in Python, GoLang, C++, TensorFlow, PyTorch, and deployment platforms like AWS and Azure. I'm adept at creating scalable solutions using RESTful APIs and have a strong foundation in database technologies.

I'm committed to advancing the field of AI through continuous learning and collaboration. Whether applying reinforcement learning techniques or integrating AI into critical systems, my goal is to deliver impactful results that drive innovation.

Let's connect if you're looking for someone who can translate business needs into concrete deliverables while ensuring high performance and reliability in AI-driven projects.

## Work Experience
### Software Engineer (AI/ML) @ ANRA Technologies
Jan 2023 – Present | Greater London

### Data Scientist @ Ai Variant
Jan 2021 – Jan 2022
Key Skills:

- Medical imaging data processing and annotation for advanced diagnostic models
- Developing and refining CNN-LSTM models for medical classification tasks 
- Performance optimization of deep learning models for improved diagnostic accuracy (achieved a 10% improvement)
- Image processing and data augmentation techniques to enhance model training and accuracy
- Computer vision techniques for feature extraction and analysis of medical images
- Cross-functional collaboration with researchers, engineers, and medical professionals to improve model design, usability, and performance
- Contributing to the broader ML research community through collaborative pilot projects and knowledge-sharing
- Model evaluation, testing, and validation for clinical applications
- Implementation of advanced machine learning techniques for medical data analysis
- The result-driven approach focused on optimizing model performance for real-world medical use cases
- Managing and mitigating concept drift in evolving medical datasets to ensure model reliability and performance over time
- Monitoring and adjusting for model drift to maintain the accuracy and robustness of predictions in dynamic environments
-Implementing online learning algorithms for real-time model updates based on incoming data streams, while also utilizing offline learning techniques for batch processing and training models on historical data to achieve high-accuracy prediction

### Data Scientist @ Arinoz Technologies Pvt Ltd
Jan 2020 – Jan 2021 | Pune
Key Skills:

- Predictive analytics and forecasting for web traffic and user behaviour
- Time series forecasting using advanced models like LSTM and RNN for trend analysis
- Data preprocessing, feature engineering, and seasonal pattern detection
- Machine learning model development and optimization for web traffic prediction
- Addressing model deployment challenges, including data drift and performance monitoring
- Integration of cutting-edge technologies for fraud detection and payment gateway issues
- Collaboration with cross-functional teams for market insights and performance analysis
- Design and development of interactive dashboards and reports for effective stakeholder communication
- Research and innovation to enhance forecasting accuracy and decision-making
- MLOps collaboration for model testing, versioning, and long-term deployment

### Business Analyst @ Arinoz Technologies Pvt Ltd
Jan 2019 – Jan 2020 | Pune

### Business Analytics Trainee @ SMP Engineers & Electricals Pvt. Ltd.
Jan 2018 – Jan 2019 | Nashik
Key Skills:

- Data analytics and insights extraction from historical manufacturing data
- Time series analysis for predictive maintenance and operational optimization
- Developing predictive maintenance models using Python and ML frameworks (TensorFlow, sklearn)
- Data preprocessing, feature engineering, and anomaly detection
- Building and deploying machine learning models for asset health monitoring
- Streamlining data-intensive business processes with advanced analytics
- Risk analysis and failure pattern identification to minimize equipment downtime
- Data visualization 
- Working with relational databases, efficient data handling

### Senior Software Engineer @ Persistent Systems
Jan 2014 – Jan 2017 | Pune, Maharashtra, India
Key Skills:

- C++ and Python development
- Software development workflows, deployment, and version control
- Legacy system modernization
- Communication network optimization (VoIP, IMS, NGN, 4G)
- Hadoop and Spark for data analytics
- Agile methodologies, workflows and DevOps collaboration
- SQL optimization and database automation
- Telecom traffic analysis
- Implementing design patterns and unit testing
- Scripting and multithreaded application development in Linux environments


## Education
### MSc Applied Artificial Intelligence in (School of Aerospace, Transport and Manufacturing)
Cranfield University

### Bachelor of Engineering - BE in Electronic and Telecommunication Engineering
Pune Institute of Computer Technology

### Diploma in Engineering in Electronic and Telecommunication Engineering
K. K. Wagh Polytechnic


## Contact & Social
- LinkedIn: https://linkedin.com/in/pradnya-patil-b049161ba

---
Source: https://flows.cv/pradnya
JSON Resume: https://flows.cv/pradnya/resume.json
Last updated: 2026-04-05