Software Engineer with 5+ years building enterprise-scale systems at Capgemini & Accenture. Expert in Python, Gen AI & LLM fine-tuning, and full-stack development. MS Computer Science with a 3.9 GPA.
I'm a software engineer who has spent over 5 years leading end-to-end, client-facing projects at large enterprises like Capgemini and Accenture, working as a techno-functional lead across complex backend and data systems.
I recently completed my MS in Computer Science (3.9 GPA), where I also served as a Research & Teaching Assistant — building RAG-based AI chatbots and mentoring 100+ students as Agile Scrum Master.
My goal: to transition fully into AI/ML engineering, combining enterprise delivery experience with cutting-edge LLM and GenAI skills. I am open to relocation and excited about opportunities anywhere.
Interactive stock price forecasting using Facebook's Prophet model and LSTM neural networks. Features historical data, interactive charting, and customizable forecasting up to one year.
github.com/regostar/streamlit_stocksGenAI app leveraging RAG with LangChain and a fine-tuned Legal-BERT model to generate legal arguments from court records via CourtListener API. Full-stack with Firebase Auth and FastAPI streaming.
github.com/Rena7/ArguLexReal-time facial recognition attendance system using OpenCV and CNN (Keras/TensorFlow). Contactless, automated with Firebase for cloud storage, real-time sync, and admin analytics.
github.com/chimpiriudaykiranComprehensive AI resume builder as a web app and Chrome Extension, featuring an LLM-powered content assistant. LaTeX backend generates pixel-perfect, professionally typeset PDF resumes.
github.com/chimpiriudaykiran/ResumeExtensionWeb app integrating a Random Forest ML model to predict diabetes risk from age, BMI, and glucose levels, with ChatGPT API providing personalized dietary feedback and real-time health guidance.
github.com/chimpiriudaykiran/NutritionAppAccessible web app empowering visually impaired users to interact with dynamic data visualizations via automated audio descriptions using OpenAI and browser speech synthesis.
github.com/chimpiriudaykiranHigh-accuracy accident severity prediction pipeline on 300K+ UK road accident records using XGBoost, SMOTE balancing, PCA dimensionality reduction, and rigorous cross-validation.
Private repositoryReal-time, location-based web app with React.js and Google Maps API for finding accessible public restrooms. Node.js REST APIs, MongoDB-backed user reviews boosted engagement by 35%.
Private repositoryModular summarization pipeline integrating classical IR and neural methods with LDA topic modeling and BERT/PEGASUS transformers for high-quality multi-document summaries via Flask endpoints.
Private repositoryRobust backend using Flask and PostgreSQL with psycopg2 and SQLAlchemy ORM for scalable database operations. Real-time CRUD for tickets, rides, and scheduling with responsive dashboards.
Private repositoryExtensive analysis of 190K+ COVID-19 records using pandas, polars, and PyCaret for automated ML pipelines assessing vaccination rate and age-structure effects on mortality with rich visualizations.
Private repositoryBenchmarked ESPCN and SRGAN super-resolution models on DIV2K dataset in PyTorch. Evaluated using PSNR, SSIM, and LPIPS metrics — ESPCN for accuracy, SRGAN for perceptual realism.
Private repositoryCollege advising chatbot scraping departmental sites with Selenium/BeautifulSoup, indexed with FAISS for semantic retrieval. Compared and fine-tuned BERT, Llama 2, Gemini, and ChatGPT architectures.
Private repositoryEngaging web-based quiz game educating users about WCAG and ARIA accessibility standards through gamified learning. Real-time leaderboards and progress tracking via Firebase Auth and Firestore.
Private repositoryLarge-scale preprocessing of 300K+ cardiovascular records via Hadoop MapReduce, Hive, and Cassandra on AWS S3. Predictive models with Spark MLlib; deployed and interpreted with AWS SageMaker.
Private repositoryI'm actively looking for AI/ML and full-stack engineering roles. Whether it's a full-time position, project collaboration, or just a conversation about the future of AI — I'd love to hear from you.
✉ udaykiranchimpiri@gmail.com