Ajit Chaturvedi

Data Scientist

Bengaluru, Karnataka, India3 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven dental diagnostics.
Proven track record in smart city traffic analysis.
Skilled in developing advanced NLP chatbots.

Stackforce AI infers this person is a Healthcare and Smart Cities AI Specialist with strong expertise in Computer Vision and Machine Learning.

Contact

Skills

Core Skills

Deep LearningImage SegmentationComputer VisionTraffic AnalysisNatural Language ProcessingChatbot DevelopmentMachine LearningImage RecognitionData Preparation

Other Skills

AlgorithmsClinical EvaluationData ExtractionData PreprocessingData ProcessingDataset ManagementFacial RecognitionGitGitHubJavaScriptLinear RegressionLinuxModel TrainingNumPyPandas (Software)

About

At Happiest Minds, I work in the AI image research domain, focusing on cavity detection and segmentation in dental X-rays. I develop and fine-tune deep learning models like U-Net, DeepLabV3+, and leverage insights from S-R2F2U-Net to identify caries and anomalies in radiographs. I handle the complete ML pipeline—data preprocessing, model training, and clinical evaluation—contributing to AI-powered dental diagnostic tools. Previously, I worked as a Computer Vision Engineer on real-time traffic analysis systems in cities like Bengaluru, Mumbai, and Noida—building AI models to detect, count, and classify vehicles and pedestrians, aiding smart city planning and reducing congestion. At HCL, I built an Employee Virtual Assistant chatbot using LLMs (GPT-4), OCR, Milvus, and semantic search to deliver secure, context-aware responses. I've also been a Teaching Assistant in Jodhpur, guiding students in ML, CV, and deep learning, and have industry experience from Getout System (internship in document intelligence) and Tata Consultancy Services (data science & ML projects). An NPTEL topper in databases, I’m passionate about leveraging AI to build smarter, safer, and more efficient systems

Experience

Happiest minds technologies

Data Scientist

Apr 2025 – Present · 11 mos · Karnataka, India · Hybrid

I am currently working in the AI image research domain, focusing on cavity detection and segmentation in dental X-ray images. My work involves developing and fine-tuning deep learning models, including architectures like U-Net, DeepLabV3+, and insights drawn from recent research such as "S-R2F2U-Net: A single-stage model for teeth segmentation", to accurately identify dental caries and anomalies in intraoral and panoramic radiographs. I manage the end-to-end pipeline—from dataset curation and preprocessing to model training, evaluation, and validation using clinical metrics like IoU and Dice Score. Collaborating closely with dental experts, the goal is to build AI-powered tools that assist in automated diagnosis, treatment planning, and dental report generation.

Deep LearningImage SegmentationData PreprocessingModel TrainingClinical Evaluation

Signpost india

Computer Vision Engineer

May 2024 – Mar 2025 · 10 mos · Karnataka, India · On-site

As a Computer Vision Engineer, I am passionate about leveraging AI to enhance urban mobility and safety. I work on developing and optimizing an efficient and fast AI traffic system analysis. Our project involves installing cameras in various cities, including Bengaluru, Mumbai, and Noida, to monitor traffic in real-time.
We process video footage from these cameras to accurately count and classify vehicles and pedestrians. This includes cars, buses, trucks, autos, bikes, and people. By providing average counts per minute, our system helps in understanding traffic patterns, reducing congestion, and improving urban planning.
I am proud to contribute to creating smarter cities through advanced computer vision techniques and innovative AI solutions.
#ComputerVision #AI #TrafficAnalysis #SmartCities #UrbanMobility #MachineLearning #TechInnovation

Computer VisionTraffic AnalysisReal-time MonitoringData Processing

Hcltech

Machine Learning Engineer

Oct 2023 – May 2024 · 7 mos · Noida, Uttar Pradesh, India · On-site

At HCL, I developed an internal Employee Virtual Assistant chatbot using generative AI and LLMs, leveraging NLP and OCR for data extraction, vector embeddings with Milvus for efficient retrieval, a semantic search engine for contextual response matching, and GPT-4 for answer generation, ensuring continuous improvement with security and privacy compliance.

Natural Language ProcessingChatbot DevelopmentData ExtractionSemantic Search

Getout system

Computer Vision Engineer

Oct 2022 – Nov 2022 · 1 mo · Gurugram, Haryana, India · Remote

Worked on developing a computer vision solution, that take image from the camera
of receipt and produce an output image with recognition of Merchant name, Total, and Date.

Computer VisionImage RecognitionData Processing

Indian institute of technology jodhpur

Teaching Assistant

Jul 2021 – May 2023 · 1 yr 10 mos · Jodhpur, Rajasthan, India · On-site

I was a teaching assistant in jodhpur for 2 years. Our responsibility is create the assignment for the subject like machine learning, Deep Learning, Image processing, computer vision. After that we also checked that assignment for the evaluation. All TA's helped the students who have doubt in the respective subject.

Deep LearningMachine LearningPython

Tata consultancy services

System Administrator

Oct 2020 – Sep 2021 · 11 mos · Bengaluru, Karnataka, India

Worked on preparing a robust dataset for training machine learning models. The process involved outlier removal and normalization of each column to enhance model accuracy.

Data PreparationMachine LearningDataset Management