M.S., Artificial Intelligence
September 2025 – December 2026
Northwestern University, Evanston, IL
GPA 4.0/4.0
Open to opportunities · December 2026
Srija Kethireddy
Graduate Student
Chicago, IL
AI engineer. MSAI at Northwestern. I build LLMs, agents, and multimodal systems that ship.
About
Hi I am Srija, a graduate student pursuing a Master’s in Artificial Intelligence at Northwestern University. I graduated with a Bachelor’s degree in Artificial Intelligence in 2025.
I worked on deep learning projects at the National University of Singapore, applying AI to seismic data analysis, and completed the University of Florida’s Senior Certificate Program, focusing on core computer science topics.
I have led projects in NLP, computer vision, and multimodal systems, with interests in AI for healthcare, human centred AI, and responsible machine learning.
Education
Senior Certificate, Computer Science
January 2025 – May 2025
University of Florida, Gainesville, FL
GPA 3.83/4.0
B.E., Artificial Intelligence
2021 – 2025
Mahindra University, Hyderabad, India
GPA 8.42/10.00
Projects
AI-Assisted Medical Trainee Application Evaluation
Feinberg School of Medicine, Northwestern · Apr 2026 – Present
- Building residency application screening pipeline: PDF parsing → structured fact extraction → rubric-aligned Excel scorecards.
- Privacy-first hybrid LLM scoring via local Ollama models — no applicant data leaves the institution.
- Deterministic Python scoring layered on LLM outputs for auditable, consistent decisions.
Agentic AIOllamaPrivacy-First AIPDF Parsing
NL2SQL: Natural Language to SQL Generation
Northwestern University · May – Jun 2026
- Fine-tuned T5-Base (220M params) on WikiSQL (56K examples) achieving 73.76% validation exact match.
- Built FAISS-indexed RAG with Sentence-BERT for few-shot example injection; ran Hyperband search via Optuna (12 trials).
- Deployed as Streamlit chatbot — users upload CSV/SQLite, schema auto-parsed, SQL generated and executed on live data.
LoRA/PEFTRAGFAISSOptunaStreamlit
Session-Aware Recommendation Agent for User Interest Drift
Northwestern University · 2026
- Built a self-adaptive meta-controller on KuaiRand-Pure (1.44M interactions) with closed-loop Observe → Diagnose → Adjust → Recommend → Evaluate pipeline.
- Meta-agent outperformed all fixed baselines: Hit@5 0.3088 vs 0.3047, unique top-1 items 854 vs 615.
- Trained multi-behavior user response simulator and verified DDPG whole-session RL baseline in KuaiSim.
Reinforcement LearningDDPGAgentic AIKuaiRand
MarineGAN: Deep Convolutional GAN for Image Generation
Northwestern University · Apr – May 2026
- Trained DCGAN on 3,983 marine animal images (128×128); Generator 3.5M params, Discriminator 2.8M params.
- Grid search over 9 hyperparameter combos tracked via Weights & Biases — optimal: lr_d=0.0002, noise=0.1, 80 epochs.
- Documented failure modes: mode collapse after epoch 100, discriminator over-regularization, early stopping misapplication.
GANsTensorFlow/KerasW&BComputer Vision
Constraint-Aware Multi-Agent Meal Planning System
Northwestern University · Jan – Mar 2026
- Safety-critical multi-agent system for dietary meal planning under strict constraints — zero unsafe recommendations across all test cases.
- Ingredient-level allergen detection, automated recipe repair, and re-validation after each repair cycle.
- Transparent reasoning traces; agent triggers automatic repair on constraint violation.
Multi-agent AISafety-Critical AIConstraint Satisfaction
BookTunes: Emotion-Driven Music Generation
Northwestern University · Sep – Dec 2025
- Dual-path neural network (CNN + acoustic fusion, 1.2M params) for cross-modal emotion classification from text.
- Text-to-music retrieval pipeline using sentence transformers and FAISS to blend emotionally compatible tracks.
MultimodalCNNFAISSAudio ML
NBA Injury Risk Modelling
Northwestern University · Sep – Dec 2025
- Integrated 780,000+ player-game records and 18,000 injury events across 23 NBA seasons; engineered 34 features.
- XGBoost with SHAP interpretability — age, cumulative minutes, and prior injury history as primary risk drivers.
XGBoostSHAPFeature EngineeringSports Analytics
ConcertTracker
University of Florida · Jan – Apr 2025
- Built a full-stack concert journaling platform that allows users to log concerts, write reviews, and follow artists and friends. Developed a responsive Angular frontend and integrated Spotify and setlist.fm APIs.
- Designed backend services to sync 10,000+ concert events and historical data into personalized user feeds.
- Focused on scalable data ingestion, clean API design, and user-centric product features.
XGBoostSHAPFeature EngineeringSports Analytics
Experience
Software Engineering Intern · Nyck AI, Chicago, IL
July 2026 – Present
- Building agentic AI workflows for a procurement automation startup targeting SMBs.
- Integrating with ERPs, Excel, and email to automate inventory analysis, purchase order generation, and supplier communication.
AI Intern · Cyient, Hyderabad, India
Jun 2025 – Aug 2025
- Built a document analysis pipeline processing 10,000+ aviation XML files; applied OCR to detect and label aircraft part figures with 95% accuracy, reducing manual review by 20+ hours/week.
- Automated PDF annotation and XML data mapping end-to-end with validation and quality checks across heterogeneous document formats.
AI Intern · Techolution, Hyderabad, India
Jun 2024 – Nov 2024
- Fine-tuned CodeT5 on 1M+ code snippets with Hugging Face Transformers; deployed as a production REST API with 40% gains in retrieval and clustering efficiency.
- Designed and shipped a production RAG application using Python, Neo4j, and REST APIs — cut query response latency by 60%.
- Automated GitHub dependency parsing across 8 languages; collaborated cross-functionally with product and engineering teams.
Research Intern · National University of Singapore, Singapore
Jul 2023
- Trained an ANN-based binary classifier on 100,000 seismic samples achieving 90% classification accuracy using TensorFlow/Keras.
- Leveraged AWS for large-scale dataset management and scalable experiment pipelines.
Skills
Programming
PythonSQLPostgresSQLiteMySQLREST APIsGit
LLM & RAG
LoRA/PEFTRAGFAISSHugging FaceOllamaPrompt engineeringEvaluation design
Agentic AI
Multi-agent pipelinesWorkflow orchestrationTool-callingClosed-loop control
ML & Modeling
PyTorchTensorFlowscikit-learnXGBoostSHAPCNNsGANsRL (DDPG)
Data & Systems
AWSGCPNeo4jWeights & BiasesOptunaStreamlitOCRETL
Contact
happy to connect!