Luv Bansal

Lead ML Engineer

Rajasthan, India4 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Generative AI and LLM technologies.
Developed predictive models for employee attrition.
Engineered AI solutions for real-time safety monitoring.

Stackforce AI infers this person is a skilled AI and Machine Learning engineer with experience in SaaS and Fintech industries.

Contact

Skills

Core Skills

Generative AiLlmArtificial Intelligence (ai)Machine LearningDeep LearningSoftware DevelopmentComputer Vision

Other Skills

Adobe PhotoshopAgentsAlgorithmsBERTC (Programming Language)C++ChatbotsCompetitive ProgrammingConvolutional Neural Networks (CNN)Data AnalysisData AnalyticsData MiningData ScienceData StructuresDeep Neural Networks (DNN)

About

Enthusiastic about Artificial Intelligence, particularly LLMs and Generative AI. I love delving into this transformative field through reading, exploring, experimenting, and sharing insights. You can check out my thought-provoking articles on AI at my @medium Always open to engaging discussions on AI or creating new topics to delve into our shared interest and to brainstorm new ideas in this dynamic and thrilling domain. Don't hesitate to reach out! Let's explore AI together!

Experience

4 yrs 8 mos

Total Experience

2 yrs 4 mos

Average Tenure

3 yrs 3 mos

Current Experience

Clarifai

2 roles

Senior ML Ops Engineer

Promoted

Mar 2025 – Present · 1 yr 3 mos

Generative AILLMRetrieval-Augmented Generation (RAG)Agents

ML Ops Engineer

Mar 2023 – Mar 2025 · 2 yrs

Artificial Intelligence (AI)Generative AILLMComputer Vision

Axis bank

Business Analyst

Jun 2022 – Jul 2022 · 1 mo · Bangalore Urban, Karnataka, India · On-site

Developed an Employee Attrition model aimed at predicting the likelihood of an employee resigning within the next three months.
Comprehensive dataset was built by extracting and incorporating all pertinent features from an extensive amount of raw data.
Used analytical techniques, including exploratory data analysis and correlation analysis, to derive meaningful patterns in the data.
Evaluated performance of different models, including Neural Networks, Logistic Regression, and Random forest using various metrics, such as accuracy, precision, recall, F1-score, gini coefficient, and AUC-ROC to assess their effectiveness.
Received a Pre-placement offer based on my work's success and positive team feedback.

Deep LearningData AnalysisMachine LearningScikit-Learn

Microsoft

Micosoft Engage’21 Program Mentee

Jun 2021 – Jul 2021 · 1 mo

Developed a Microsoft Teams clone Android application using Flutter, supporting real-time communication for multiple users.
Built a user-friendly application architecture incorporating advanced features such as messaging, video-calling, team creation, meeting scheduling, and in-call message access, enhancing the app's real-time communication capabilities, in 21 days.
Applied agile management methodologies, including Scrum, to effectively manage the development lifecycle and timely delivery.

Software Development

Kochartech

Machine Learning Engineer

Nov 2020 – Mar 2021 · 4 mos

Engineered a Covid safety system for ICICI Bank, utilizing CCTV footage as data and implemented computer vision algorithms.
Enhanced security features by building Loitering and Mask detection tasks and incorporating an alert system to notify security.
The model was deployed in the ICICI bank during Covid. Utilized: OpenCV, Tensorflow Object Detection API, and YOLO.

Deep LearningArtificial Intelligence (AI)Machine LearningComputer Vision