Open to opportunities

Sanjay Malisetty

@sanjaymalisetty

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AI/ML software engineer building production-ready LLM and computer vision solutions.

United States

Message

What I'm looking for

I seek a collaborative role applying LLMs and computer vision to real products, with opportunities for impact, mentorship, and growth.

I am an AI/ML software engineer focused on building production-ready generative AI and computer vision systems that deliver clear business value. I have experience fine-tuning LLMs and developing AR/vision features, integrating models into workflows and deploying MVPs for non-technical stakeholders.

My background includes research and industry internships where I applied unsupervised and supervised ML, improved model accuracy, and presented results to stakeholder audiences. I collaborate across cross-functional teams to align product and technical requirements and deliver scalable solutions using modern tools and libraries.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Disruption Lab at Gies College of Business

Sep 2025 - Present (4 months)

Built an OpenAI integration module and implemented an agentic AI workflow with LangGraph to automate summarization and generate validated, consistent LLM outputs; delivered an AI-driven email MVP summarizing AI-business trends for non-technical stakeholders.

OpenAI API LangGraph LLM Batch Processing Summarization Python

Current

AI/ML Software Developer

Current

FaceFrame

Jul 2025 - Present (6 months)

Fine-tuned a GPT-3.5-variant using PyTorch to raise accuracy from 77% to 90% on 10k+ image dataset and integrated real-time AR overlays using Unity, OpenCV, and MediaPipe to render 3D glasses on user facial data.

Mediapipe PyTorch Model Fine Tuning Unity OpenCV AR Overlays Computer Vision

AI Engineer Intern

Reality AI Lab

Jul 2024 - Oct 2024 (3 months)

Developed generative AI features for Kai V2 and Marvel education models using Transformers in TensorFlow and HuggingFace, and applied ML techniques (Random Forest, KMeans) for worksheet generation functionality.

K Means TensorFlow Transformers Generative AI Random Forest

Research Intern

Loyola Medicine

May 2024 - Oct 2024 (5 months)

Designed unsupervised ML workflows (KMeans, UMAP) to predict urea transmembrane transporter presence in E. coli from large-scale bioinformatics data and contributed to research on personalized UTI treatments, presenting findings to 70+ attendees.

K Means Unsupervised Learning Bioinformatics Data Analysis Presentation Python

Education

Degrees, certifications, and relevant coursework

University of Illinois at Urbana-Champaign

Bachelor of Science, Computer Science

2025 -

Activities and societies: Projects and research in AI/ML, participation in campus labs and internships; involved with Disruption Lab and student development projects.

Pursuing a Bachelor of Science in Computer Science with coursework and projects focused on AI/ML, systems, and software engineering.