Mansi Mutreja

Co-Founder

Bengaluru, Karnataka, India3 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Designed and deployed ML assessments across multiple domains.
Developed a GenAI-powered autonomous agent system.
Awarded Best Newcomer of the Year for impactful contributions.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions across Healthcare and Retail sectors.

Contact

Skills

Core Skills

Machine LearningGenerative AiArtificial IntelligenceNatural Language ProcessingRecruitment

Other Skills

MLOpsMachine Learning Model DeploymentCloud Computing (GCP, Azure, AWS)Generative AI (GenAI)Data Science Project ManagementCloud Computing (GCP)AutoGluonAutoPyTorchNERLLaMA 3.2streamlitGitHubMicrosoft Azure AIDockerPostgreSQL

About

Aspiring AI and Machine Learning enthusiast with hands-on experience in data science projects and internships. Currently, an AI Engineer dedicated to leveraging generative AI for innovative solutions Passionate about deep learning, LLM, and real-world applications of AI. Actively engaged in enhancing my skills and knowledge through practical projects and collaborative efforts. To enhance the diversity of my language knowledge, I hold "Diploma in German language".

Experience

3 yrs 2 mos

Total Experience

7 mos

Average Tenure

1 yr 2 mos

Current Experience

Enqurious (formerly mentorskool)

AI & ML Engineer

Mar 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Designed and deployed domain-specific ML assessments across Retail, CPG, Insurance, and Healthcare domains using Azure, AWS, and GCP platforms to evaluate 300+ learners
Created a synthetic healthcare insurance dataset to simulate underwriting risk, later used in predictive modeling & training.
Built and deployed a Dynamic Pricing Regression Model for FMCG (Tide) on GCP endpoints with batch predictions to optimize pricing strategies; integrated CI/CD pipelines for automated retraining and deployment.
Developed a Healthcare Insurance Predictive Model to identify high-risk customers, deployed via Dockerized GCP containers, improving underwriting accuracy and reducing manual evaluation time.
Led Market Mix Modeling (MMM) for a beverage launch to identify optimal marketing channels, deployed on Azure endpoints with MLflow tracking for model versioning.
Delivered the end-to-end project “AI-Assisted Deployment of ML Models and Web Apps”, integrating model deployment automation and monitoring for dynamic pricing optimization.
Developed a GenAI-powered autonomous agent system, enabling natural language querying of complex healthcare databases and ensuring secure & traceable insights.
Automated the entire ML assessment pipeline from deployment ID extraction to report generation using Claude-powered NLP feedback integration reducing manual work by 75%.
Built mentor tracking dashboards to monitor evaluation progress, pending tasks, and feedback cycles, increasing operational transparency.
Created a secure web portal for assessment report downloads with feedback and scoring summaries.
Executed MACH(ML Assessment & Capability Health) mappings, designing a system to assess and classify proficiency strong applied ML-in-L&D
Conducted VM testing and validation pre-release, ensuring reliability across deployment environments.
Awarded “Best Newcomer of the Year” (2025) for impactful contributions across automation, deployment, and enterprise learning.

MLOpsMachine Learning Model DeploymentCloud Computing (GCP, Azure, AWS)Generative AI (GenAI)Data Science Project ManagementMachine Learning+1

Alfahive inc.

AI Engineer

Oct 2024 – Feb 2025 · 4 mos · Bengaluru, Karnataka, India · On-site

Developed de-duplication and procedure tagging models for medical records using
AutoGluon, AutoPyTorch, and NER achieving an accuracy of 98%.
Built a body part count model for various medical modalities using LLaMA 3.2.
Designed a comparison tool using streamlit to evaluate AI-driven invoice automation against
manual processes reducing turn around time by 95% for finance team.
Worked with GitHub, Microsoft Azure AI, and Docker to containerize Ollama model.
Wrote SQL queries in PostgreSQL to extract and analyze medical report data from database.

AutoGluonAutoPyTorchNERLLaMA 3.2streamlitGitHub+5

Telerad tech

Artificial Intelligence Intern

May 2024 – Aug 2024 · 3 mos · Bengaluru, Karnataka, India

Implemented an NLP project utilizing LLM technology to identify errors in unproofed reports
and generate corrected versions, ensuring accuracy and consistency in report proofreading
reducing turn around time by 60% for radiologists.
Designed a user interface with Streamlit for the same project.
Developed Dense MCA classification model using MobileNetV2 model achieving an accuracy
of 78%.
Developed NLP solutions for summarizing findings section for generating impressions in the
radiologists reports.
Identified critical cases in medical reports using keyword detection in NLP.
Worked with RabbitMQ for message queuing, Postman for API testing, and Docker for
containerization.

Large Language Models (LLM)PROMPTRetrieval-Augmented Generation (RAG)DockerPostman APIRabbitMQ+3

Anm cube: pre-employment assessments

Business Analyst

Sep 2023 – May 2024 · 8 mos · Jaipur, Rajasthan, India · Remote

Collaborated with hiring managers to understand staffing needs and align recruitment
strategies.
Screened resumes, conducted interviews, and assessed candidates for both technical and
business-oriented roles.
Took interviews and evaluated candidates' fit for various positions.
Worked with internal stakeholders to document business requirements for assessment
solutions.
Analyzed business processes to identify areas for improvement and optimization.
Participated in client meetings to present assessment solutions and align them with business
goals.
Developed data-driven strategies for continuous improvement in recruitment and sales
processes.
Built and maintained strong client relationships, ensuring high levels of customer satisfaction.
Took interviews of CEO’s of the companies for You Tube channel.

IT RecruitmentNon-IT RecruitmentClient RelationsClient AcquisitionBusiness PlanningZoho CRM+3

Tasklance

Artificial Intelligence Intern

Sep 2023 – Feb 2024 · 5 mos · Mumbai, Maharashtra, India · Remote

Developed and implemented a sentiment analysis model for restaurant recommendations.
Built an AI/ML-based analyzer to detect deadlocks in databases.
Spearheaded a data science project to revolutionize used car discovery.

Python (Programming Language)SQLMachine LearningArtificial Intelligence (AI)Deep LearningLarge Language Models (LLM)+2

Consultadd inc

Business Analyst

Sep 2022 – Jun 2023 · 9 mos · Pune, Maharashtra, India · Remote

Managed the full recruitment cycle for Software Engineers, including sourcing, interviews, and
onboarding.
Developed and executed recruitment strategies, collaborating with US-based vendors and
clients.
Defined client requirements, designed tailored solutions, and identified future opportunities.
Created and maintained documentation, including user stories, databases, and a Requirements
Traceability Matrix.

IT RecruitmentHiringRequirements AnalysisInterviewingOnboardingDice.com+1