
Stuti goel
@stutigoel1
I build reliable AI systems for search, analytics, vision, and privacy.
What I'm looking for
At Micorza, I architect hybrid agentic routing for semantic search and quantitative analytics, enabling RAG and data-driven insights from customer feedback. I also build privacy-preserving processing workflows with custom PII recognition and tokenization for financial and corporate entities.
Previously at Frontera Health, I improved speaker tagging accuracy by 30% for child-adult interaction analysis by refining extraction heuristics and fine-tuning Whisper’s Wav2Vec model. At Continental Automotive, I developed low-light image enhancement models for automotive systems using Python, TensorFlow, and PyTorch.
I enjoy turning applied machine learning research into measurable systems, from YOLOv8-based therapy-video interaction detection to retrieval pipelines with query expansion, guardrails, and vector databases.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Micorza
May 2025 - Present (1 year 4 months)
Architected a hybrid agentic routing framework for semantic search and quantitative analytics, and designed a semantic-to-numerical analytics pipeline using Sentence Transformers and Pandas. Improved retrieval recall with LLM-powered query expansion and built privacy-preserving data processing workflows for compliance.
Artificial Intelligence Intern
Frontera Health
Sep 2024 - Feb 2025 (5 months)
Identified speaker tagging inaccuracies in audio recordings and developed heuristic functions to refine extractions. Fine-tuned Whisper's Wav2Vec model, enhancing speaker tagging accuracy by 30% as validated by certified behavior analysts.
Research Intern
Continental Automotive
Jun 2023 - May 2024 (11 months)
Developed Low-Light Image Enhancement algorithms using Python, TensorFlow, and PyTorch for automotive systems. Implemented experimental evaluations on LOL and proprietary datasets, achieving PSNR of 16.9 and SSIM of 0.6 with improvements over baselines.
Education
Degrees, certifications, and relevant coursework
Bennett University
Master of Computer Applications, Artificial Intelligence
2022 - 2024
Grade: 9.2/10
Pursued a Master of Computer Applications with a major in Artificial Intelligence, achieving a CGPA of 9.2/10.
Kalindi College
Bachelor of Computer Applications, Computer Applications
2019 - 2022
Grade: 8/10
Completed a Bachelor of Computer Applications with a CGPA of 8/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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