Aditya Agarwala

Software Engineer

Gurugram, Haryana, India2 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in backend development and microservices.
Proven track record in optimizing AI systems.
Strong problem-solving skills demonstrated in competitive programming.

Stackforce AI infers this person is a Backend Engineer specializing in AI and scalable systems.

Contact

Skills

Core Skills

Backend DevelopmentMicroservicesData ProcessingMachine LearningAi Optimization

Other Skills

GolangKafkaDynamoDBS3AWSGoElasticsearchGrafanaRedisOptimizationPyTorchTensorFlowTFLiteAndroid DevelopmentKotlin

About

I’m a Software Engineer at Zomato building scalable backend and distributed systems. My work focuses on microservices, event-driven architectures, and platform reliability — designing high-throughput pipelines, resilient background workers, observability frameworks, etc used at scale. I primarily work with Golang, Kafka, Redis, DynamoDB, AWS, Elasticsearch, SQL, and other backend technologies. Previously, I worked with the On-Device AI team at Samsung Research on the Samsung Neural Acceleration Platform (SNAP), optimizing edge AI systems through model quantization, cross-framework deployment (PyTorch, ONNX, TFLite), and accelerating Generative & Vision models across CPU/GPU/NPU. I enjoy operating in fast-ownership environments — taking systems from 0→1 as well as scaling production infrastructure for performance and fault tolerance. I’m an ACM ICPC Regionalist, 5★ on CodeChef, and Expert on Codeforces — experiences that continue to shape my problem-solving approach.

Experience

2 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 8 mos

Current Experience

Zomato

2 roles

SDE 2

Promoted

Jan 2026 – Present · 4 mos · Gurugram · On-site

•⁠ ⁠Architected and built backend services for stage-based Delivery Agent training and assignment, automating eligibility checks and mentor allocation. Used Golang microservices, Kafka pipelines, DynamoDB, and S3 photo verification with image similarity checks — removing manual allocation and improving training compliance by ~80%.

GolangKafkaDynamoDBS3MicroservicesBackend Development

Software Engineer

Sep 2024 – Feb 2026 · 1 yr 5 mos · Gurugram · On-site

⁠ ⁠Worked on an AI-driven voice call classification system to analyze delivery call recordings. Designed LLM prompts and supporting backend pipelines to flag location-related issues and generate structured insights, processing 100K+ recordings every month.
⁠ ⁠Resolved a reliability gap in Redis background workers by moving from blocking pops to atomic pop/push with stable worker IDs. This allowed recovery of in-flight jobs during restarts or scaling events, eliminating message loss.
⁠ Built Elasticsearch-backed search on DynamoDB data to support complex queries, along with automated monthly index creation to improve performance and manage index growth.
⁠ ⁠Set up Grafana dashboards and alerts to monitor service health, performance metrics, and operational KPIs — helping teams catch production issues early.
⁠ ⁠Built an asset tracking system to manage warehouse-to-route lifecycle. Implemented label generation, status mapping, task flows, and OTP/QR-based handshakes between loaders and delivery agents for route-level traceability.

AWSGoElasticsearchGrafanaRedisBackend Development+1

Samsung r&d institute india

Software Engineer

Aug 2023 – Aug 2024 · 1 yr · Bengaluru

AI Engineer — Samsung (OnDevice AI Team)
Focus: Samsung Neural Acceleration Platform (SNAP)
Contributed to the Samsung Neural Acceleration Platform (SNAP), optimizing on-device AI performance for flagship Galaxy devices.
Led model quantization initiatives, reducing model size by up to 80% with minimal to no accuracy degradation.
Implemented 4-bit quantization in Google AI Edge Torch, enabling ultra-efficient edge inference.
Worked across PyTorch, ONNX, TensorFlow, and TFLite for cross-platform deployment.
Optimized Generative AI models including Large Vision Models using Stable Diffusion and LoRA.
Accelerated ML workloads across CPU, GPU, and NPU for real-time edge performance.
Published research at IEEE ICIP on efficient quantization of Visual Question Answering models.
Received Samsung Excellence Award for contributions to Galaxy S24 flagship AI capabilities.

Machine LearningOptimizationPyTorchTensorFlowTFLiteAI Optimization

Slang labs

Software Developer Intern

Oct 2022 – Mar 2023 · 5 mos · Bengaluru · Remote

Did something in Android development using Kotlin

Android DevelopmentKotlin

Samsung r&d institute india

Software Engineer Intern

Jun 2022 – Aug 2022 · 2 mos · Bengaluru, Karnataka, India

Contributed in the Backend Part of Voice Analytics and Applications team on the Utterance Management System portal.
We had a distributed monolithic cloud architecture with Nodejs, Express, Angular, Solr Cloud, RDS, Redis.
A text search engine to display all the different analysis done on Bixby’s (Samsung’s voice assistant) Data.
Implemented a logger module which uses winston and daily-rotate-file npm packages to support file-based logging.
Worked on refactoring the old backend JS code following onion architecture.
Node.js Express.js JavaScript

Node.jsExpress.jsJavaScriptBackend Development