Aman Saini

Software Engineer

Jammu, Jammu & Kashmir, India5 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable AI infrastructure.
Proven track record in machine learning model development.
Strong background in software engineering and system design.

Stackforce AI infers this person is a Software Engineer specializing in AI and Machine Learning solutions.

Contact

amansaini7999@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Software DevelopmentMachine LearningComputer Vision

Other Skills

AlgorithmsAnacondaAnalytical SkillsCC++Convolutional Neural Networks (CNN)Data ScienceData StructuresDeep LearningDepth estimationDesign ReviewFlaskHTMLImage processingJava

About

I’m a Software Engineer passionate about building simple, scalable systems that turn messy problems into clear, reliable experiences. I grew from ML research and early internships to modernizing platforms at Amazon, where I redesigned claims and evidence workflows and re‑architected services to remove friction. At Microsoft, I am building AI Infrastructure.

Experience

5 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

8 mos

Current Experience

Microsoft

Software Engineer 2 (L62)

Oct 2025 – Present · 8 mos · Noida, Uttar Pradesh, India · On-site

Building AI Infra

Artificial Intelligence (AI)Software Development

Amazon

2 roles

SDE 2

Nov 2023 – Oct 2025 · 1 yr 11 mos · Gurugram, Haryana, India · On-site

Software Development

Software Development Engineer

Aug 2021 – Nov 2023 · 2 yrs 3 mos · Gurugram, Haryana, India · On-site

JavaSoftware Development

Microsoft

Support Engineer

Apr 2021 – Jul 2021 · 3 mos · Hyderabad, Telangana, India · Remote

Deployed scalable VMs, Websites & Created personal domain network for authenticating users.
Specialized Training on Troubleshooting Methodology, Customer Interaction and Technical Foundations.
Presented end to end placement solution integrated with teams, along with prototype in Aspireathon.

Solytics partners pvt. ltd

Software Engineer

Aug 2020 – Nov 2020 · 3 mos · India · Remote

1. Model Monitoring Tool
Developed a web-based platform for monitoring the performance and stability of machine learning models. Added features for benchmarking and calibration of models.
2. Information extraction from Identity Documents
Developed a model for information extraction from Identity Documents and created a rest API. Used a combination of YoloV5 and tesseract and achieved a 12% increase in average accuracy.
Technologies Used: Machine learning, MySQL, MongoDB, Rest API, Flask, EC2 Instance.

Machine learningMySQLMongoDBRest APIFlaskMachine Learning

Indian institute of science (iisc)

Computer Vision Intern

Dec 2019 – Feb 2020 · 2 mos · Greater Bengaluru Area · On-site

Worked on image-based rogue drone depth estimation. Studied various concepts like disparity map depth estimation, mono depth, ORB and relation between actual height to pixel height. Used YoloV3 to detect and classify rogue drone, calculated disparity using ORB ultimately calculating actual height, and used object pixel ratio to actual height ratio to get the exact depth with 28 FPS.
Github Link: https://github.com/amansaini7999/Image-Based-Rogue-Drone-Depth-Estimation

Google

ML Facilitator

Jul 2019 – Jan 2020 · 6 mos · Remote

Selected as ML Facilitator by Google under Explore ML program aiming to conduct workshops for students and educate them about machine learning and neural networks.

Leadingindia-ai

Deep learning Intern

May 2019 – Jun 2019 · 1 mo · New Delhi Area, India · On-site

Worked on Multimodal Emotion Recognition on Polish data. Extracted the features of body motion, facial expression, and speech from videos of Polish actors. Used neural network models to classify the data into one of the seven emotions in each modality of data. Combined all the modalities using a weighted average approach to get the final result.
Github Link: https://github.com/LeadingIndiaAI/Multimodal-Emotion-Recognition-in-Polish