Hello, I'm

Stuti Bimali

BridgingΒ data,Β intelligenceΒ &Β real-worldΒ impact.

AI EngineerData ScientistML EngineerFull-Stack Dev
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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.

Ready to explore?

Let's build something
extraordinary.

Who I am

About Me

Professional Identity

SB / 2026

Stuti Bimali

Stuti Bimali

AI / ML Engineer

Open
AI Engineer

Focus

LLMs Β· RAG Β· AI Agents

AI Engineer / Applied AI Engineer/ Data Scientist

I build AI systems
that actually ship.

I'm an AI/ML Engineer focused on building practical, production-ready systems across LLM applications, RAG, intelligent agents, and machine learning. My work sits at the intersection of research and engineering β€” turning complex AI capabilities into reliable products that solve real problems.

With experience across model development, backend engineering, cloud infrastructure, and deployment, I enjoy owning the complete journey from an idea or experiment to a system people can actually use.

LLM Engineering
RAG Systems
AI Agents
Cloud Deployment
Research β†’ Engineering β†’ Deployment

Where I've worked

Industry Experience

Part-Time (CPT)
AI Trusted Advisors

AI Trusted Advisors

AI Engineer

February 2026 - May 2026Las Vegas, USA (Remote)
  • Built an explainable AI career recommendation system using Python, FastAPI, and AWS, combining weighted scoring (40% skills, 30% interests, 20% education, 10% experience) to rank careers, generate confidence scores, identify skill gaps, and recommend personalized learning paths.
  • 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.

Swipe or use the arrows to explore 7 roles

My academic journey

Academic Voyage

πŸ“ USAβœ•
August 2024 - May 2026

πŸŽ“Master of Science in Data Science

πŸ“šTagliatela College of Engineering - University of New Haven

πŸ“ŒWest Haven, CT, USA

πŸ“‹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'.

πŸ“ India
2018 - 2022

πŸŽ“Bachelor of Engineering - Computer Science and Engineering

πŸ“šNew Horizon College of Engineering - Visvesvaraya Technological University affiliated

πŸ“ŒKarnataka, India

πŸ“‹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.

πŸ“ Nepal
2016 - 2018

πŸŽ“Grade 11 and 12 - Biology Science and Additional Mathematics

πŸ“šGoldenGate International Secondary School

πŸ“ŒKathmandu, Nepal

πŸ“‹Passed with distinction (3.03/4). Relevant coursework: Biology, Chemistry, Physics, Mathematics.

πŸ“ Nepal
2006 - 2016

πŸŽ“Grade 1 to 10 - Computer Science and Additional Mathematics

πŸ“šGEMS Higher Secondary School

πŸ“ŒLalitpur, Nepal

πŸ“‹Passed with distinction (3.7/4). Relevant coursework: Computer Science, Mathematics.

✦   Once a upon a time, the earliest   ✦

My knowledge base

Core Concepts

A continuously flowing stream of the ideas, methods, and frameworks I work with day to day.

/Machine Learning/Deep Learning/Neural Networks/NLP/MCP/Computer Vision/LLMs/RAG/Data Wrangling/Cloud/Statistical Analysis/Feature Engineering/Model Deployment/ETL Pipelines/Machine Learning/Deep Learning/Neural Networks/NLP/MCP/Computer Vision/LLMs/RAG/Data Wrangling/Cloud/Statistical Analysis/Feature Engineering/Model Deployment/ETL Pipelines
/Data Visualization/A/B Testing/Reinforcement Learning/Transfer Learning/Voice AI/AI Agents/MCP Servers/Graph Databases/MLOps/DevOps/Big Data/Apache Spark/Apache Kafka/Prompt Engineering/Data Visualization/A/B Testing/Reinforcement Learning/Transfer Learning/Voice AI/AI Agents/MCP Servers/Graph Databases/MLOps/DevOps/Big Data/Apache Spark/Apache Kafka/Prompt Engineering
/Fine-Tuning/Answer Engine Optimization/LoRA Fine-tuning/LangChain/LlamaIndex/Hybrid Retrieval/Model Evaluation/FAISS/BM25/Model Monitoring/Model Validation/Structured Data/Schema Markup/Fine-Tuning/Answer Engine Optimization/LoRA Fine-tuning/LangChain/LlamaIndex/Hybrid Retrieval/Model Evaluation/FAISS/BM25/Model Monitoring/Model Validation/Structured Data/Schema Markup

Technical proficiency

Technical Skills

39 tools5 domains
01

ML & AI

14 tools
Machine LearningPyTorchTensorFlow / KerasLLMs / Prompt EngineeringRAGTransfer LearningHugging FaceScikit-learnVoice AI / AgentsMLOpsLangChain / LlamaIndexFAISS / BM25LoRA Fine-tuningModel Evaluation (ROUGE-L)
02

Cloud & DevOps

9 tools
AWSAzureDockerGit / GitHubFlask / FastAPIPostgreSQLGitHub Actions / CI/CDNestJS / Node.jsStreamlit
03

Languages

5 tools
PythonSQLJavaRTypeScript
04

Data

7 tools
PandasNumPyData VisualizationPower BITableauApache SparkMatplotlib / Seaborn
05

Other

4 tools
AEO/SEOStatistical AnalysisFeature EngineeringETL Pipelines

What I've built

Featured Projects

Credential Wall

Certifications

A cabinet of earned credentials β€” 45 badges across 11 organizations. Tap an organization to browse its badges.

AWS Cloud Practitioner Essentials

Amazon Web Services (AWS) June 2026

Beyond the classroom

Events & Learning

Webinars

2 attended

AI Solution for Enterprises and Containerising Applications using E4S

ANNA University August 14, 2020

OpenPOWER Big Data AI

University of Wisconsin Platteville June 19, 2020

Workshops

2 attended

Introduction to Computer Algorithms

SGP Global IT Academy Pvt Ltd April 24, 2020

UNIX and Shell Programming

PraLoTech Solutions LLP November 3, 2019

Seminars

1 attended

NewSpace - An Era of Small Satellites: Opportunities and Challenges

Indian Technology Congress Association & UNISEC India April 11, 2019

Quizzes

3 attended

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 Jul 14, 2020

ARM7 Microcontroller & its Instruction Set

Dept. of CSE, TOCE

Research

Publication

IEEE β€’ IEEE

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

Fire Detection Research

My credentials

Resume

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Get in touch

Let's Connect

Contact Information

Address

United States

Social Profiles

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.

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Designed & Built by Stuti Bimali

AI Engineer β€’ Data Scientist β€’ ML Engineer