Aditya Jaiswal

Lead ML Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in real-time speech AI for global communication.
Proven track record in AI-driven medical imaging.
Strong foundation in cloud technologies and scalable solutions.

Stackforce AI infers this person is a Healthcare and AI-focused professional with expertise in scalable solutions.

Contact

Skills

Other Skills

ASRAWS SageMakerAmazon Web Services (AWS)BashBash ScriptingBazelC++CUDAComputer VisionCryptographyCustomer Relationship Management (CRM)Data AnalysisData AnalyticsData ScienceDeep Learning

About

Currently working in the ML Engineering team at Sanas, specializing in real-time speech AI to enhance global communication. With over 4 years of experience in AI, software development, and cloud technologies, I build scalable solutions that break language barriers. Previously, at Qure.ai, I worked on AI-driven medical imaging, optimizing models for accurate healthcare diagnostics. My experience also includes roles at Urban Company, Kalpavruksh Technologies with expertise in AWS, API architecture, and AI deployment. Passionate about AI-driven innovation, I'm always open to discussions on how technology can transform communication and everyday interactions. Let's connect!

Experience

7 yrs 1 mo

Total Experience

1 yr 11 mos

Average Tenure

1 yr 3 mos

Current Experience

Sanas

Senior ML Engineer

Jan 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Qure.ai

2 roles

Senior AI Engineer

Promoted

May 2023 – Nov 2024 · 1 yr 6 mos

AI Engineer

Oct 2021 – May 2023 · 1 yr 7 mos

Urban company

Data Analyst

Oct 2020 – Sep 2021 · 11 mos

Computer Vision
Mask Classifier: Trained and deployed In-house Mask classifier to ensure safety of service professionals and users
Identity Verification: Built a real time Identity Verification System using the state-of-the-art deep learning techniques
Safety Harness: Harness detector to increase adherence of Safety harness by the service professionals
Forecasting
Built an analytical model to forecast delivery numbers at category level

Kalpavruksh technologies

Data Science Intern

May 2019 – Jul 2019 · 2 mos · Mumbai Area, India

Applied Super Resolution Convolution Neural Network model to enhance the resolution of the frames extracted from CCTV using PSNR as the metric for model evaluation.