PROFILE SUMMARY
AI & ML Engineer with 5 years' experience in LLMs, RAG, NLP & Deep Learning. Built AI-driven solutions for search, fraud detection & analytics. Skilled in Python, SQL, TensorFlow, PyTorch & cloud deployment.
PROFESSIONAL EXPERIENCE
GenAI Engineer
Kaplan | Sep 2023 - Present- Developed an AI-driven feedback system using RAG and LLMs to automate personalized student feedback, reducing grading time by 60%.
- Designed and embedded an Inquiry-Based Learning chatbot into Kaplan’s LMS via an iframe for structured, interactive student support.
- Built a knowledge base using academic materials and FAQs, preprocessing student data and implementing Azure AI Search for indexing.
- Used LangChain/Haystack for retrieval, fine-tuned LLMs, and integrated AI tutoring via CrewAI for dynamic learning assistance.
- Deployed AI models on Azure ML, utilized Azure OpenAI & Cognitive Search, and ensured security with Azure AD integration.
- Conducted A/B testing, optimized response time, and improved chatbot retrieval accuracy to 85%, enhancing student self-learning.
NLP & Deep Learning Developer
Rockland trust | Jun 2022 - Sep 2023- Developed an AI-driven fraud detection system using NLP and Deep Learning to analyze transactions, logins, and loan applications in real time.
- Applied NLP techniques like tokenization, TF-IDF, and embeddings to detect phishing, identity theft, and fraudulent communications.
- Engineered behavioral features, integrated external data, and used LSTMs and CNNs for anomaly detection and fraud prediction.
- Trained and validated models with stratified cross-validation, using dropout and batch normalization for optimized fraud detection.
- Integrated deep learning outputs into risk assessment algorithms, assigning risk scores and triggering alerts for high-risk transactions.
- Deployed a real-time fraud detection system, ensuring compliance with banking regulations and automating detailed audit reports.
ML Developer
Various Projects | Jan 2020 - Nov 2021- Developed a machine learning model to predict customer churn and analyze customer behavior for Jio Company.
- Automated data extraction, integration, and preprocessing using Pandas and NumPy to ensure high-quality datasets.
- Conducted exploratory data analysis (EDA) with Matplotlib and Seaborn to uncover customer behavior patterns and churn factors.
- Engineered impactful features like call duration and billing variations, applying PCA for dimensionality reduction.
- Built churn prediction models using Random Forest and SVM, optimizing accuracy with cross-validation and Grid Search.
- Evaluated models using confusion matrix, accuracy, precision, recall, F1-score, and A/B testing for optimal selection.
- Applied K-means clustering to segment customers based on usage patterns and demographics for targeted marketing.
- Deployed the churn prediction model using Flask for real-time analysis with monitoring and feedback loops.
- Performed time series analysis with ARIMA to forecast customer behavior and service trends for strategic planning.
- Improved customer retention strategies by providing insights into churn risks and enabling proactive engagement.
Lahari Bathula
AI & Machine Learning Engineer
Experience: 5 Years
TECHNICAL SKILLS
Regression Classification Time Series Forecasting Segmentation NLP Deep Learning Graph Analytics Prompt Engineering RAGEDUCATION
Master of Computers (Rivier University) - 2023
