M

Mridul Chaudhary

CEO

Bengaluru, Karnataka, India9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed AI solutions in beauty-tech.
  • Built no-code AI platform for user empowerment.
  • Strong academic background in Data Science.
Stackforce AI infers this person is a skilled AI/ML professional in the Beauty-Tech and SaaS industries.

Contact

Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data AnalysisArtificial Intelligence

Other Skills

X APILLMBrand Detection PipelinePythonAPI CanonicalizationDynamic Path ResolutionAPILangChainGitHubFlaskOpenCVRMSEXGBoostStatistical Data AnalysisMicrosoft Azure

About

Currently an AI Engineering Intern at Honestly, where I work at the intersection of AI and skincare, applying machine learning and deep learning to deliver personalized and innovative solutions in the beauty-tech space. Previously, I was an AI Intern at Adopt, where I contributed to developing an agentic no-code AI platform, empowering users to build AI workflows without writing code. I’m pursuing a B.Tech in Computer Science at ADGITM along with a BS in Data Science from IIT Madras, combining strong academic foundations with hands-on experience. My focus areas include Machine Learning, Deep Learning, Computer Vision, and NLP, with experience in: Building and fine-tuning ML/DL models (Regression, Classification, CNNs, RNNs, Transfer Learning) Developing end-to-end AI solutions, from research and experimentation to deployment Using tools like Python, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn Deploying projects with Flask, Streamlit, and AWS/Render

Experience

9 mos
Total Experience
9 mos
Average Tenure
--
Current Experience

Joveo

AI Enablement

Nov 2025Present · 6 mos · Menlo Park, CA · Remote

  • Business x AI Enablement

Honestly

AI Engineering Intern

Sep 2025Oct 2025 · 1 mo · Bengaluru, Karnataka, India · On-site

  • Built an Automated Tweet Reply Bot which uses X API and Generates responses from v3 (our own fine-tuned LLm on reddit and youtube data) which result in 30% increase in new users
  • Bot also Reduced Growth teams time on writing Post Replies
  • Re-Architected Brand Detection Pipeline, boosting precision from 76% to 94% and reducing Misclassfication by 28%
  • Started with Identifying Imp Attributes for Hair Care, Since we had plans to add Haircare and Makeup as new Options
X APILLMBrand Detection PipelineMachine LearningNatural Language Processing (NLP)

Google developers group on campus - adgips

2 roles

AI/ML Lead

Jul 2025Jul 2025 · 0 mo

  • Managing a team of 50 people and guiding them in AI/ML space
  • Organizing hackathons and tech events to increase Tech culture in College

Member

Oct 2024Jul 2025 · 9 mos

  • Working under Guidance by Seniors and Alumni's and Upskilling myself in AI/ML domain

Adopt ai

AI Intern

Jun 2025Aug 2025 · 2 mos · Bengaluru · On-site

  • Built LLM Driven Agents for clients like Snowflake and 6Sense to automate UI actions on their platform
  • Optimized the API Canonicalization Pipeline, improved accuracy by ∼21% and reducing manual intervention time
  • by ∼60% through enhanced dynamic path resolution and query normalization.
LLMAPI CanonicalizationDynamic Path ResolutionMachine LearningArtificial Intelligence

Education

Indian Institute of Technology, Madras

Bachelor of Science - BS — DATA SCIENCE

Jun 2023May 2027

Dr Akhilesh Das Gupta Institute of Professional Studies

Bachelor of Technology - BTech — Artificial Intelligence and Data Science

Aug 2023Jan 2027

DAV SECTOR-7 Rohini Delhi

Intemediate — NON MEDICAL

Apr 2014Mar 2022

Stackforce found 100+ more professionals with Machine Learning & Natural Language Processing (nlp)

Explore similar profiles based on matching skills and experience