Ruppesh Nalwaya

Senior Software Engineer

Hyderabad, Telangana, India12 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Computer Vision and Machine Learning.
Developed advanced algorithms for Adobe Scan App.
Experience with Large Language Models and AI technologies.

Stackforce AI infers this person is a Machine Learning and Computer Vision specialist with experience in AI-driven applications.

Contact

Skills

Core Skills

Large Language Model Operations (llmops)Artificial Intelligence (ai)

Other Skills

LangGraphLarge Language Models (LLM)Microsoft OfficeCustomer ServiceMicrosoft WordPowerPointMicrosoft ExcelC++MatlabJavaHTMLAutoCADCProgrammingGit

About

Enjoy working on problems in the domain of Computer Vision and Machine Learning

Experience

12 yrs 6 mos

Total Experience

4 yrs

Average Tenure

3 mos

Current Experience

Microsoft

Senior Software Engineer

Mar 2026 – Present · 3 mos · Hyderabad, Telangana, India · On-site

Adobe

3 roles

Software Engineer (Machine Learning)

Feb 2024 – Mar 2026 · 2 yrs 1 mo

Langraph based agentic systems for comprehending collection of documents

Large Language Model Operations (LLMOps)Artificial Intelligence (AI)LangGraphLarge Language Models (LLM)

Research Software Engineer

Nov 2017 – Feb 2024 · 6 yrs 3 mos

Developing Video Intelligence technology at Creative Intelligence Lab, Adobe Research

Artificial Intelligence (AI)Large Language Models (LLM)

Member of Technical Staff 2

Jul 2015 – Nov 2017 · 2 yrs 4 mos

Developed the Computer Vision algorithms of Adobe Scan App, a tool of Acrobat family which transforms the document images taken from a mobile phone into high quality scan-like images with accurate OCR and makes the documents searchable.
Developed Neural Network based technology for Illuminant estimation and shadow removal from document images.
Developed the classification model for the feature "document discovery from photo gallery" of Adobe Scan.
Worked on making image processing and ML algorithms performant on Mobile devices using parallel processing technologies.

Artificial Intelligence (AI)

Indian institute of technology, madras

Thesis Student

Jan 2015 – May 2015 · 4 mos · Chennai Area, India

Undergraduate Thesis titled "Object Detection using contour based approach" at Computer Vision Lab, IIT Madras. Obtaining a minimal set of multiple contour based models to improve the object detection rate using pictorial structures framework and integer programming.
Thesis Guide: Dr. Anurag Mittal, Associate Prof., IIT Madras

Google

Software Engineering Intern

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

Worked with 'Data On Boarding' team at Hyderabad.
Built the pipeline for Data Migration Service (Cloud migration) for moving contacts of corporate accounts from Microsoft Exchange to Google Apps.

Homi bhabha centre for science education (hbcse), tifr

Summer Intern

May 2013 – Jul 2013 · 2 mos · Mumbai Area, India

As part of project Gnowsys, Integrated Mobwrite, an open source collaborative real-time text Editor software based on Differential Synchronization called mobwrite on “beta.metastudio.org”
Extra features added to the collaborative real-time Editor include colour code for on-line users, formation of separate groups of collaborators, chat interface.
Project Instructor: Nagarjuna G., Reader F, HBCSE-TIFR, Chairperson of Free Software Foundation of India
Gnowsys (semantic web and studio based learning platform): A project aimed at representing all forms knowledge(concepts and facts) as a network of interconnected nodes(http://www.gnu.org/software/gnowsys/)

Ecac lab bits pilani

Project Smartlab

Jan 2012 – Apr 2013 · 1 yr 3 mos

technologies for intelligent, automated and context aware living environments. Project SmartLAB is a student driven project at the Embedded Controller Application Center (ECAC Lab) at BITS-Pilani, India