Hello, I'm
Stuti Bimali
BridgingΒ data,Β intelligenceΒ &Β real-worldΒ impact.
What I do
I build
intelligent
experiences.
From data pipelines to AI-driven apps β I turn complex problems into elegant solutions.
My mission
Bridging
science
& impact.
I'm passionate about using data and AI to create solutions that make a real difference in people's lives.
Who I am
About Me
I'm Stuti Bimali β an AI/ML Engineer with 2+ years building LLM-powered applications, RAG systems, AI agents, and ML pipelines. I recently completed my M.S. in Data Science at the University of New Haven (GPA 3.91), combining a strong Computer Science and Engineering foundation with hands-on production experience.
My work spans the full ML lifecycle β from fine-tuning open-source LLMs with LoRA and building hybrid RAG pipelines, to deploying FastAPI inference endpoints, AWS ETL pipelines, and real-time monitoring systems that maintain 99%+ uptime. I don't just build models; I build systems that scale, deploy, and survive real usage.
Recent highlight: Nepal-US Hackathon 2026 Best Demo Award. I'm seeking roles where I can keep solving hard problems with meaningful outcomes.
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Where I've worked
Industry Experience

AI Trusted Advisors
Part-Time (Contract)AI Engineer
- Built an RAG-based content pipeline using Grok API, FAISS vector retrieval, and prompt chaining to automatically publish 5+ SEO-optimized blogs weekly, increasing organic traffic by 40%.
- Implemented schema markup and structured data via custom APIs, increasing indexed pages by 30% and improving search engine visibility across AI-generated content.
- Designed model monitoring and validation workflows to detect retrieval failures and content quality issues before automated publishing.
- Collaborating cross-functionally with lead developers and company leadership to align AI prototypes with platform roadmap and client deployment goals.

iAssist Innovations Labs
Full-TimeAI/ML Engineer (AI Scientist)
- Built an automated hospital bill analysis system using ML models and Python/SQL, processing 1000+ insurance claims monthly, and increased efficiency by 25%.
- Drove the initiative from a manual to an automated workflow based on demonstrated performance improvements.
- Provided daily production support and on-call monitoring for the live claim processing system, resolving critical data extraction failures within 5 minutes to maintain 99%+ system uptime and ensure zero claim processing delays.
- Fixed 50+ production bugs through real-time error analysis and continuous script optimization, reducing manual QA intervention from 95% to 30% of claims.
- Trained new team members on production workflows, cutting onboarding time from 3 weeks to 1 week and support tickets by 35%.

British Airways - Forage
Internship - 2 Months InternshipData Scientist
- Completed a virtual internship focused on customer analytics and predictive modeling.
- Scraped and analyzed Skytrax customer reviews to generate insights on passenger sentiment and service quality.
- Developed a machine learning model to predict customer booking behavior, supporting proactive and data-driven decision-making.

KPMG - Forage
Internship - 1 Month InternshipData Analyst
- Completed a virtual internship focused on data quality and business reporting.
- Performed data cleaning, removing duplicates, correcting errors, and standardizing formats to ensure accuracy and consistency.
- Communicated insights through professional email reports and created interactive dashboards using Tableau for effective data visualization and decision-making support.

Cognizant
InternshipProgramming Analyst Intern
- Engaged in an intensive five-month training program focused on the acquisition of comprehensive full-stack development competencies.
- The program provided practical experience with Java, Python, SQL, React, and REST APIs, substantiated through project-based learning and periodic evaluations.
- During the training, I contributed to the development of end-to-end web applications, implementing MVC architecture, designing databases, and integrating front-end and back-end components, in accordance with industry best practices and maintaining code quality.

The Sparks Foundation
Graduate Rotational Internship ProgramData Scientist and Mobile Web Development Intern
- Performed exploratory data analysis on real-world datasets using Python and Pandas.
- Built supervised ML models (decision trees, regression) achieving 87% accuracy.
- Delivered visual insights using Matplotlib and Seaborn to stakeholders.
- Using Android and Web Development skills visualized the analysis on Mobile and Web

Verzeo - SmartKnower
Internship on Data ScienceData Scientist Intern
- Analyzed structured and unstructured data to extract actionable insights.
- Developed and evaluated predictive models using scikit-learn.
- Collaborated on data preprocessing pipelines reducing noise by 30%.
My academic journey
Academic Background

Tagliatela College of Engineering - University of New Haven
Master of Science in Data Science
Graduated with distinction (GPA 3.91/4). Projects included fine-tuning LLMs with LoRA, building RAG pipelines, and deploying ML models on AWS. Thesis on 'Optimizing Retrieval-Augmented Generation for Scalable Question Answering Systems'.

New Horizon College of Engineering - Visvesvaraya Technological University affiliated
Bachelor of Engineering - Computer Science and Engineering
Graduated with distinction (9.13/10). Final year project on CNN-based fire detection. Relevant coursework: Data Structures, Algorithms, Database Systems, Machine Learning, Computer Vision, NLP, Cloud Computing, Software Engineering.

GoldenGate International Secondary School
Grade 11 and 12 - Biology Science and Additional Mathematics
Passed with distinction (3.03/4). Relevant coursework: Biology, Chemistry, Physics, Mathematics.

GEMS Higher Secondary School
Grade 1 to 10 - Computer Science and Additional Mathematics
Passed with distinction (3.7/4). Relevant coursework: Computer Science, Mathematics.
My knowledge base
Core Concepts
Technical proficiency
Technical Skills
Languages
5 skills
ML & AI
14 skills
Data
7 skills
Cloud & DevOps
9 skills
Other
4 skills
What I've built
Featured Projects
Credentials
Certifications
Total Certs
Organizations
Amazon Web Services (AWS)
1 certification earned
Click on an organization above to view their certifications
Beyond the classroom
Events & Learning
webinars
2 completed
AI Solution for Enterprises and Containerising Applications using E4S
ANNA University β’ August 14, 2020
OpenPOWER Big Data AI
University of Wisconsin Platteville β’ June 19, 2020
workshops
2 completed
Introduction to Computer Algorithms
SGP Global IT Academy Pvt Ltd β’ April 24, 2020
UNIX and Shell Programming
PraLoTech Solutions LLP β’ November 3, 2019
seminars
1 completed
NewSpace - An Era of Small Satellites: Opportunities and Challenges
Indian Technology Congress Association & UNISEC India β’ April 11, 2019
quizzes
3 completed
Object Oriented Programming in Java
Dept. of CSE, Shaikh College of Engineering & Technology Belagavi
Online Quiz on C Programming
Dept. of CSE, Vemana Institute of Technology, Bengaluru β’ Jul 14, 2020
ARM7 Microcontroller & its Instruction Set
Dept. of CSE, TOCE
Research
Publication
Comparative study of different methods for fire detection using Convolutional Neural Network (CNN)
Authors: Stuti Bimali, Dr. Rachana P., Dr. B. Rajalakshmi, Tushar Bhat, Sukhmanjeet Kaur
Conference: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
Date: 20-22 January 2022
Location: Tirunelveli, India

My credentials
Resume
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Get in touch
Let's Connect
Let's Build Something Amazing Together
Open to collaborations, research opportunities, and full-time roles in Data Science / AI / ML. Let's shape the future together.
Send MessageDesigned & Built by Stuti Bimali
AI Engineer β’ Data Scientist β’ ML Engineer