Rishav Arjun

Machine Learning Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Computer Vision.
Proven track record in developing LLM-powered tools.
Strong background in model optimization and MLOps.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions for enterprise applications.

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Skills

Core Skills

Computer VisionModel OptimizationLarge Language Models (llm)Prompt DesignNatural Language Processing (nlp)MlopsReinforcement LearningOpportunity AssessmentData VisualizationMachine LearningForecasting

Other Skills

PyTorchDistributed TrainingModel QuantizationDiffusion modelHyperparameter TuningObject-Oriented Programming (OOP)PythonAzure OpenAI ServiceLinuxAzure DevOps ServicesLogistic regresionGradioData StructuresTensorFlowAutoencoders

About

I am a Machine Learning Engineer at Adobe in the Applied Research Technology team, with 4+ years of experience in AI, currently specializing in Computer Vision, Model Optimization, Generative Modeling, and Machine Learning. I work on adapting cutting-edge ML research to business needs, developing and training deep learning architectures on multi-GPU systems, and optimizing model for faster inference through architectural tuning and quantization techniques. Before joining Adobe, I served as an Associate Data Scientist at MSCI Inc, where I worked on developing LLM-powered tool to access controversy cases on the basis of ESG methodology. Prior to that, I worked with World Wide Technology as a Data Scientist where I delivered stakeholder-driven data science solutions and was part of multiple R&D initiatives. I earned my B.Tech. from the Indian Institute on Technology Bombay (IITB), with a minor in Centre for Machine Intelligence & Data Science (C-MInDS). I bring a mix of research-driven innovation and applied engineering, enabling me to deliver impactful AI solutions.

Experience

5 yrs 9 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Adobe

2 roles

Machine Learning Engineer 3

Feb 2026 – Present · 3 mos · On-site

Machine Learning Engineer 2

Aug 2024 – Feb 2026 · 1 yr 6 mos · On-site

Driving research and engineering efforts in edge preserving texture adjustment model
Building scalable training frameworks to accelerate experimentation
Leveraging model optimization, compression, and quantization techniques to reduce inference time
Exploring latest GenAI diffusion models for computer vision applications

PyTorchDistributed TrainingModel QuantizationComputer VisionModel OptimizationDiffusion model+1

Msci inc.

Data Science Associate

Nov 2023 – Aug 2024 · 9 mos · Pune District, Maharashtra, India · Hybrid

Developed a LLM-powered tool based on ESG Methodology to assess the status of controversy cases
Experimented with Gemini Pro, GPT4 32K, and Turbo to achieve 79% automation with 91% accuracy
Enhanced model accuracy by applying techniques such as dynamic few-shot learning, human feedback, and rationale-based prompting
Included binary questions in prompt; used responses as features for a classifier to get probabilistic output

Large Language Models (LLM)Prompt DesignObject-Oriented Programming (OOP)PythonAzure OpenAI ServiceLinux+4

World wide technology

2 roles

Data Scientist

Dec 2022 – Oct 2023 · 10 mos

Computer VisionPyTorchDiffusion modelTensorFlowNatural Language Processing (NLP)

Associate Data Scientist

Jul 2021 – Dec 2022 · 1 yr 5 mos

Devised a reinforcement learning model enabling AI-guided routing decisions for AIDN (https://aidn.ai/)
Formulated reward strategies for varying priority traffic using network link attributes and episode length
Reduced learning time by training the model on paths created using BFS and Dijkstra algorithm
Designed an Autoencoder based Network intrusion detection system using IDS 2018 dataset
Used deep bottleneck features as an input to XGBoost classifier, achieving 0.95 recall
Spearheaded the development of end-to-end Azure ML based MLOps pipeline via Github Actions
Created MFCC, Asymmetry variable based audio features to identify filler words in audio segments
Revamped and expedited mine reconciliation process by 10x by establishing a data foundation in Snowflake

MLOpsReinforcement LearningAutoencodersSQLAmazon Web Services (AWS)Python+6

Signal capital partners limited

Data Science Intern

Jun 2020 – Aug 2020 · 2 mos · Greater London, England, United Kingdom

Explored regression models on BigQuery to rank US geographies on private equity opportunities in real estate
Conducted qualitative research on Census data to identify 30 key factors driving investment opportunity
Formulated a medical deprivation index to examine the effect on senior health care and housing sector

Google BigQueryRegression ModelsOpportunity Assessment

Oyo

Project Associate

May 2020 – May 2020 · 0 mo · Gurugram, Haryana, India

Analyzed 20+ locations to identify partnership opportunities by benchmarking properties against competitors on pricing, occupancy, and revenue metrics
Built a Python-based heat map system to provide real-time property-level insights, supporting the Business Development team in assessing demand and planning onboarding strategies.
Conducted trend analysis on property onboarding and churn before and after COVID

PythonData Visualization

Viacom18 media private limited

Data Scientist

May 2019 – Jul 2019 · 2 mos · Mumbai Metropolitan Region

Boosted rating prediction accuracy to 83% (up by 4%) by devising a forecasting model for a TV channel
Developed a Random Forest model and employed rolling window method to handle data periodicity
Conducted demographic and geographic segmentation to identify 12 influential factors affecting the viewership

Python (Programming Language)ForecastingMachine LearningData Analytics

Indian institute of technology, bombay

Technical Council Member

Aug 2018 – May 2019 · 9 mos · Mumbai Metropolitan Region

Technical Secretary (Aug 2018 - May 2019)
Awarded Special Mention for exemplary promotion of technical culture among hostel residents
Secured 1st position in Institute Technical General Championship; winning 50% of the Inter-Hostel technical competitions
Technical Councilor (June 2019 - April 2020)
Elected representative of 400+ students; led a 2 tier council and effectively managed a budget of INR 0.5 Lakh
Devised numerous strategies to increase the participation of hostel inmates in technical activities leading to 70% Y-o-Y growth
Introduced user feedback system to revamp Hostel Technical room with a shoestring budget by purchasing requisite components

Techfest, iit bombay

Infrastructure Coordinator

May 2018 – Dec 2018 · 7 mos · Mumbai Metropolitan Region

Led a team of 15 volunteers to orchestrate and implement crowd management system leading to 6% Y-o-Y increase in the footfall
Systematized the power supply for 30+ venues by coordinating with Electrical and Maintenance division of IIT Bombay
Effectively managed a team of 100+ students in the Solar Study Lamp assembly workshop to spread the vision of a grid-less India