Arkya Bagchi

AI Researcher

South Delhi, Delhi, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and Multimodal Learning.
Proven track record in deploying scalable AI solutions.
Strong background in logistics and data-driven decision making.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for logistics and healthcare.

Contact

Skills

Core Skills

Machine LearningAwsData Analysis

Other Skills

Amazon EC2Amazon S3Analytical SkillsApache FlinkApache KafkaArduinoComputer VisionData PipelinesData ScienceData-Driven StrategiesDjango REST APIsDjango REST FrameworkDocker ProductsEC2Exploratory Data Analysis

About

M.Tech in AI at IIT Jodhpur specializing in Generative AI and Multimodal Learning. With a background as a Data Scientist at Ecom Express, I bridge advanced AI research with practical, scalable deployment. My current work involves building Vision-Language LLMs (VL-LLMs) for medical imaging and developing Retrieval-Augmented Generation (RAG) systems, backed by hands-on experience in MLOps (Docker, Kafka, AWS).

Experience

2 yrs 10 mos

Total Experience

8 mos

Average Tenure

Current Experience

Indian institute of technology jodhpur

Teaching Assistant-Machine Learning

Aug 2024 – Dec 2024 · 4 mos · Jodhpur, Rajasthan, India · On-site

Mentored a cohort of graduate and undergraduate students on core machine learning concepts, from foundational regression and classification models to advanced neural networks.
Evaluated programming assignments, projects, and examinations, providing detailed, constructive feedback to reinforce learning and solidify understanding.
Conducted tutorials and lab sessions to demonstrate the practical implementation of ML algorithms using Python libraries such as Scikit-learn, TensorFlow, and PyTorch.
Collaborated with the course instructor to design challenging assignment problems and manage course logistics, ensuring a smooth and effective learning experience for all students.

Machine LearningPythonScikit-learnTensorFlowPyTorch

Ecom express limited

2 roles

Associate Data Scientist (AI/ML)

Promoted

Jan 2023 – Oct 2023 · 9 mos

Engineered and developed key machine learning models to solve critical logistics challenges, including an address classifier (XGBoost) that significantly outperformed legacy systems and a predictive model (LGBM) to reduce losses from shipment returns.
Led the end-to-end deployment of models into production, creating scalable Django REST APIs and leveraging AWS services like EC2 and Load Balancers for high-availability, real-time analysis.
Designed and fully automated a monitoring pipeline using cron jobs and S3 to track live model performance, ensuring system reliability and providing daily, actionable insights to stakeholders.
Streamlined data preparation by integrating multiple APIs and building robust data pipelines for model training and feature engineering.

XGBoostLGBMDjango REST APIsAWSEC2Load Balancers+2

GET Data Scientist(AI/ML)

Jul 2022 – Jan 2023 · 6 mos

Niva bupa

Data Analytics

Dec 2021 – Jun 2022 · 6 mos · Gurugram, Haryana, India

Conducted in-depth exploratory data analysis (EDA) to identify and understand key customer behavior trends across the company's various product lines.
Developed and presented data-driven strategies based on these insights, which directly contributed to reducing call center volume and enhancing customer satisfaction.

Exploratory Data AnalysisData-Driven StrategiesData Analysis

India today

Data Science Intern

Jul 2021 – Sep 2021 · 2 mos · Noida, Uttar Pradesh, India

Inferno dtu

Science Team co-Head

Aug 2019 – May 2020 · 9 mos · Greater Delhi Area

Worked with the technical team (INFERNO DTU) to fabricate the university's first-ever Martian rover prototype. We designed the science platform to study the Martian atmosphere. The main objective of our team was to work in collaboration with other departments and designed the martian rover for the Indian Rover Challenge (IRC 2020) competition held at VIT Chennai