Vipin Chaudhary

AI Researcher

Delhi, India8 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved over 90% accuracy in trip segmentation.
Saved ₹50M annually in network planning costs.
Developed multimodal transport detection system with 70% accuracy.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions for transportation and telecommunications.

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Skills

Core Skills

Machine LearningDeep LearningArtificial Intelligence (ai)Recommender SystemsSoftware DevelopmentComputer VisionFull-stack DevelopmentWeb Development

Other Skills

AJAXAWS SageMakerAlgorithmsAmazon Web Services (AWS)Analytical SkillsAndroid App DevelopmentAngularJSApache KafkaApache SparkArtificial Neural NetworksBayesian statisticsBig DataCC++Chatbots

About

A highly accomplished Machine Learning Engineer, I leverage advanced AI/ML solutions to drive significant business impact. My expertise spans deep learning, Transformers, Feature Engineering, and Exploratory Data Analysis, with a proven track record in optimizing operations, enhancing customer experience, and generating substantial cost savings. Currently at Jumio Corporation, I am applying cutting-edge machine learning techniques to complex challenges. My prior tenure at airtel X Labs involved pioneering solutions that saved ₹50M annually in network planning costs, achieved over 90% accuracy in trip segmentation, and boosted customer behavior interpretability by 85%. I also developed a multimode transport detection system with 70% accuracy and reduced service request re-open rates by 48%. My research includes publications like "Semi dense adversarial LSTM for unsupervised video summarization" and "Harnessing GANs for Addition of New Classes in VSR." With a strong foundation in Computer Science from IIIT Delhi, I am dedicated to building scalable and impactful AI solutions.

Experience

8 yrs 5 mos

Total Experience

3 yrs 6 mos

Average Tenure

1 yr 5 mos

Current Experience

Jumio corporation

Machine Learning Engineer 3

Jan 2025 – Present · 1 yr 5 mos · India

Focused on developing Non-Latin OCR capabilities
Synthetic data generation
Vision Transformers

Deep LearningAWS SageMakerMachine LearningTransformersLarge Language Models (LLM)

Airtel x labs

Data Scientist

Jan 2019 – Jan 2025 · 6 yrs · Gurgaon, India

Developed a multimodal transportation system to predict optimized routes, modes and trips, leveraging telecom, DMRC data, and geospatial intelligence.
Attained over 90% accuracy in Trip segmentation: Engineered a deep learning based trip segmentation model to identify trips made on different modes of travel.
Boosted customer behaviour interpretability to 85%: Optimized a user behaviour prediction model to identify sleeping patterns, home and work locations for enhanced marketing strategies.
Reduced annual network site planning cost 50M Rs: Implemented a deep learning model to determine ideal cell tower location, now utilized Pan-India by planning teams.
Decreased service request reopen rate by 48%: Improved a predictive model to identify problematic cells, enabling pre-emptive issue resolution and reducing churn rates.
Expanded customer base by significant amount: Incorporated geospatial intelligence and refined market targeting strategies
Led a comprehensive study on user migration with ISB Hyderabad: Identified migration trends during natural disaster and major festivals; developed data dashboard reporting to several stakeholders.

Geospatial ModelingGeospatial IntelligenceDeep LearningMachine LearningArtificial Intelligence (AI)Natural Language Processing (NLP)+1

Aptence

2 roles

Machine Learning Intern

Promoted

Jul 2017 – Dec 2017 · 5 mos

Spearheaded a quiz recommendation engine that increased user retention rate on quiz by 40%

Recommender SystemsNatural Language Processing (NLP)

Application Developer

Dec 2016 – Jul 2017 · 7 mos

Hybrid application for IOS/Android in React-Native with Django as backend. Students can take challenges and compete with students globally and watch themselves grow.

Python (Programming Language)Software Development

Hypothizer

Machine Learning Intern

Dec 2016 – Oct 2017 · 10 mos · New Delhi Area, India

Amplified Banks customer on-boarding speed by 90%, worked on OCR/ICR using Faster-RCNN to convert any handwritten form into digital form.
Assisted in Road sign and pedestrian prediction model for car’s ADAS system, cut down processing time to 50 milliseconds per image

Computer VisionDeep LearningImage ProcessingOpenCV

Ht media ltd

Student Internship

Dec 2016 – Jun 2017 · 6 mos · New Delhi Area, India

Designed, Developed and launched a comprehensive website to publish advertisements in India's top newspapers such Hindustan times, Mint and other regional papers.

PHPWeb Development