Ranjan Mondal

AI Researcher

Bengaluru, Karnataka, India10 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Expert in AI solutions for financial applications.
Pioneered real-time video segmentation for edge devices.
PhD in Computer Vision and Machine Learning from ISI.

Stackforce AI infers this person is a Fintech and Computer Vision expert with strong AI/ML capabilities.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceComputer Vision

Other Skills

Graph LearningDeep LearningOptimization TechniquesSearchRetrievalPersonalizationSmall Language ModelsRanking Cross-EncodersAWSSageMakerECSLambdaReal-time Video SegmentationCAlgorithms

About

Applied Research Scientist With a passion for harnessing the power of Artificial Intelligence and Machine Learning, I drive innovation in computer vision and financial data applications. Always eager to expand my expertise, I explore new frontiers in AI/ML. Beyond my professional pursuits, I'm fascinated by: - Entrepreneurship - Algorithmic Trading - Robotics & Drones Let's connect and shape the future of AI/ML together!

Experience

10 yrs 10 mos

Total Experience

3 yrs 8 mos

Average Tenure

3 yrs 5 mos

Current Experience

Jpmorgan chase & co.

Applied AI/ML

Jan 2023 – Present · 3 yrs 5 mos

I lead the development of innovative AI solutions that leverage graph learning, deep learning, and optimization techniques to solve complex financial problems, with my current focus centered on Search, Retrieval, and Personalization. In this capacity, I fine-tune Small Language Models (SLMs) and design Ranking Cross-Encoders to enhance search relevance, while managing a scalable Retrieval-as-a-Service platform that powers critical applications. My broader expertise includes architecting agentic systems that reason and execute multi-step tasks autonomously, as well as designing algorithms for graph-based data analysis that model relationships across companies. I deploy these solutions at scale using AWS—including SageMaker, ECS, and Lambda—to drive tangible business value and strengthen global financial infrastructure.

Graph LearningDeep LearningOptimization TechniquesSearchRetrievalPersonalization+8

Samsung electronics

Lead Research Engineer

Jun 2021 – Jan 2023 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

We developed a groundbreaking solution for edge devices, achieving real-time video panoptic segmentation with low cost and high accuracy. Our team tackled the challenges of traditional segmentation methods, which were too computationally expensive for edge devices, leading to latency and inefficiency.
Key Achievements:
Developed a proof-of-concept (POC) leveraging deep learning advancements
Achieved real-time performance with high accuracy
Outperformed state-of-the-art models in benchmarking tests
Ensured temporal consistency across frames
Demonstrated real-world applications

Deep LearningReal-time Video SegmentationComputer VisionMachine Learning

Intel corporation

Intel Student Ambassador Program for AI

Jun 2018 – Jun 2021 · 3 yrs · Santa Clara, California, United States

The Intel Student Ambassador Program for AI

Indian statistical instiute, kolkata

PhD Student

Aug 2015 – Jun 2021 · 5 yrs 10 mos

Computer Vision and Machine Learning
(All India rank 1 in ISI JRF entrance test)

Microprocessor performance modeling and workload analysis

Summer Intern

May 2014 – Jul 2014 · 2 mos · Bengaluru Area, India

Microprocessor performance analysis, identifying and characterizing emerging workloads for client ARM platforms, developing sampled versions of complete workloads for use in cycle accurate timing simulation.