# Poojitha Singh > Machine Learning Engineer | MS ECE @ UMass Amherst | Building & Deploying Production Ready GenAI, LLMs ,Agentic AI | MLOps| TensorFlow | RAG| Open to ML/DS roles Location: Dallas, Texas, United States Profile: https://flows.cv/poojithasingh Result-driven Machine Learning Engineer with 2+ years of hands-on experience in building, optimizing, and deploying scalable AI and ML solutions. Currently pursuing an MS in Electrical and Computer Engineering at the University of Massachusetts Amherst, I specialize in federated learning, generative AI, Agentic AI, LLM fine-tuning, CI/CD pipeline, and MLOps. Passionate about leveraging data to drive real-world impact, I've worked across startups, research labs, and R&D environments, reducing errors by up to 95% and boosting system efficiencies through innovative ML pipelines. My background combines strong technical expertise with a proven track record of delivering production ready systems that handle high scale demands ## Work Experience ### Machine Learning Intern @ TF Holdings Jan 2026 – Present | Dallas, TX .Engineered an automated audio processing pipeline leveraging Azure OpenAI, and Cognitive Services for transcription, diarization, translation, and PII redaction. .Built ML-driven sentiment analysis and risk detection systems with high accuracy for compliance monitoring.Designed and implemented a RAG-based NLP system with semantic retrieval and hybrid query execution for conversational analytics. .Designed and implemented a RAG-based NLP system with semantic retrieval and hybrid query execution for conversational analytics ### Data Science Intern @ KCC Capital Partners Jan 2026 – Jan 2026 | Newport Beach, CA ### Graduate Student Researcher @ University of Massachusetts Amherst Jan 2025 – Jan 2026 Building on prior work in RF-based neural network watermarking, my project advances the design of secure and robust deep learning models. I integrate CNN, LSTM and Transformer hybrids to model multi-modal RF and sensor data, embed watermarking techniques for ownership verification, and apply optimisation strategies to preserve watermark integrity under adversarial attacks and model compression. The work also explores federated learning with client-specific watermark injection and verification. ### Machine Learning Engineer Intern @ Lillup Jan 2025 – Jan 2026 | San Francisco, California, United States ### Machine Learning Research Intern @ Indian Institute of Science (IISc) Jan 2023 – Jan 2024 Estimating object hardness using the gel sight sensors in robotics using raspberry and 3D image processing to obtain the high resolution of the tactile images. Built and tested experimental frameworks simulating real-world conditions, applying machine learning models to evaluate system robustness, achieving 85% improvement in fault response accuracy • Experimental frameworks involved where rigorous testing procedures were executed to simulate the real world scenarios and assess the system’s robustness. • Applied classification and anomaly detection techniques to identify faults in real time, reducing latency by 35% and improving system reliability by over 25%. ### Software Development Intern @ Samsung India Jan 2023 – Jan 2023 Performance evaluation for different DSCP Values between client and server in different network conditions in NS3 and also Simulation of different network traffic scenarios . Performed comprehensive performance evaluations using live-air testing and NS3 simulations. Delivered valuable insights for optimising network traffic management strategies, improving the overall quality of service. • Leveraged Wireshark to simulate network traffic and identify bottlenecks in API communication, providing findings to fix the three biggest causes of crashes, improving system stability by 30%. ### Research Intern @ National Institute of Technology Karnataka Jan 2022 – Jan 2023 | Karnataka, India The Aim of the Project was to use Ladder Design (LD) language which is used to program ( PLC) Programmable Control Logic and create a system which is used in the automation industry such as Automatic Parameter Initialisation when power is up and interface it on the hardware system ## Education ### Masters in Electrical and Computer Engineering in Computer Engineering University of Massachusetts Amherst ### Electronics And Telecommunication Engineering Ramaiah Institute Of Technology ### 12th Venkat International Public School - India ### Bridgewater Raritan middle school , New Jersey, United States ### Victoria Junior School , London ## Contact & Social - LinkedIn: https://linkedin.com/in/poojithasingh --- Source: https://flows.cv/poojithasingh JSON Resume: https://flows.cv/poojithasingh/resume.json Last updated: 2026-04-17