Harshit Samani

AI Researcher

Bangalore, Karnataka, India5 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in developing scalable AI solutions.
  • Proficient in Computer Vision and NLP technologies.
  • Strong background in MLOps and model deployment.
Stackforce AI infers this person is a Data Scientist specializing in AI solutions for the automotive and conversational AI industries.

Contact

Skills

Core Skills

Large Language ModelsConversational AiComputer VisionDeep LearningData EngineeringMlops

Other Skills

OpenAI APIMulti-agent SystemsPyTorchCore MLCNNData MiningFeature PreprocessingAutomated PipelineClustering AlgorithmsDBSCANMLFlowKubernetesDatabasesImage ProcessingApache Spark

About

๐—” ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—˜๐—ป๐˜๐—ต๐˜‚๐˜€๐—ถ๐—ฎ๐˜€๐˜, ๐—ฝ๐—ฎ๐˜€๐˜€๐—ถ๐—ผ๐—ป๐—ฎ๐˜๐—ฒ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—บ๐—บ๐—ถ๐˜๐˜๐—ฒ๐—ฑ ๐˜๐—ผ ๐˜€๐—ผ๐—น๐˜ƒ๐—ถ๐—ป๐—ด ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ๐˜€! - I am a skilled Data Scientist ~3 years of experience working on Computer Vision and NLP-based problems. I have exposure to Large Language Models and GenAI. - I hold an M.Tech degree in Artificial Intelligence (AI) specialization from the Indian Institute of Science (IISc), Bangalore. - Currently, I am working as a Data Scientist at Meesho AI Services โ€“ Contributing to the development of scalable and innovative GenAI solutions. I am working on expanding the LLM-based customer support voicebot for additional Indian languages (beyond Hindi and English) - Proficient in Python, SQL, ML / Deep Learning frameworks like PyTorch / TensorFlow, scikit-learn, Langchain, Kubernetes (EKS), Kubeflow, MLflow, MongoDB, AWS, FastAPI, Jenkins, etc. ๐— ๐˜† ๐—ป๐—ผ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฟ๐—ฒ๐—ฐ๐—ฒ๐—ป๐˜ ๐˜„๐—ผ๐—ฟ๐—ธ (details are in experience section) : * Developed a deep learning model to detect various modes of driver distraction like driver texting on the phone, driver not focusing straight on the road, etc. * Developed a CNN-based model to detect whether the driver is wearing a seatbelt, Created an automated pipeline of stages like data mining, feature preprocessing, model training, validation, etc. * Worked on developing a virtual assistant chatbot using Large Language Models (LLM). Retrieval augmented generation (RAG) and Prompt engineering, enabling dynamic data retrieval from official documents and databases. * Developed a CNN-based multi-head model to detect driver distracted behavior, Created an automated pipeline for end-to-end development lifecycle using docker, Kubernetes, and MLflow. * Improved clustering efficiency of Visual driver login system by replacing Agglomerative clustering algorithm with DBSCAN algorithm. * Created Scalable, Muti-GPU model training infrastructure using MLFlow and Kubernetes. Reduced cost and time for model development. * Experience in building MLOps pipeline/workflows for the entire ML lifecycle. Developed scalable solutions for model training/inference, and optimized resource allocation for high computational loads using orchestration tools like Kubernetes, Kubeflow, MLflow, etc

Experience

5 yrs 10 mos
Total Experience
2 yrs 3 mos
Average Tenure
1 yr 3 mos
Current Experience

Meesho

Data Scientist - II

Mar 2025 โ€“ Present ยท 1 yr 3 mos ยท Bengaluru, Karnataka, India ยท Hybrid

  • Data Scientist at Meesho AI Services โ€“ Contributing to the development of scalable and innovative GenAI solutions.
  • Working on expanding the LLM-based customer support voicebot for additional Indian languages (beyond Hindi and English)
OpenAI APIMulti-agent SystemsLarge Language ModelsConversational AI

Netradyne

2 roles

Senior Data Scientist

Promoted

Jan 2024 โ€“ Mar 2025 ยท 1 yr 2 mos

  • Developed a CNN-based model to detect whether the driver is wearing a seatbelt, Created an automated pipeline of stages like data mining, feature preprocessing, model training, validation, etc.
  • Developed a CNN-based multi-head model to detect driver distracted behavior, Created an automated pipeline for end-to-end development lifecycle using docker, Kubernetes, and MLflow.
  • Improved clustering efficiency of Visual driver login system by replacing Agglomerative clustering algorithm with DBSCAN algorithm.
  • Created Scalable model training infrastructure using MLFlow and Kubernetes. Reduced cost and time for model development
PyTorchCore MLComputer VisionDeep Learning

Data Scientist

Jul 2022 โ€“ Dec 2023 ยท 1 yr 5 mos

Core MLDatabases

Suzuki motor gujarat private limited

2 roles

Junior Manager

Jul 2019 โ€“ Aug 2020 ยท 1 yr 1 mo

Graduate Engineering Trainee

Jul 2018 โ€“ Jun 2019 ยท 11 mos

Education

Indian Institute of Science (IISc)

Master of Technology - MTech โ€” Artificial Intelligence

Jan 2020 โ€“ Jan 2022

The Maharaja Sayajirao University of Baroda

Bachelor of Technology - BTech

Jan 2014 โ€“ Jan 2018

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