Anmol Jain

Software Engineer

Delhi, India5 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable computer vision systems.
Proven track record in AWS and Big Data ecosystems.
Innovative leader in real-time data processing solutions.

Stackforce AI infers this person is a Cloud Computing and Retail Technology expert with a focus on Big Data and Computer Vision.

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Skills

Core Skills

AwsComputer VisionBig DataCloud Computing

Other Skills

JavaAWS (ECS, NLB, S3, CloudFormation)CDKGuiceDistributed SystemsGPUML RuntimeSecurity CertificationPerformance OptimizationSpark StreamingElasticSearchDockerKubernetesAWS CDKAmazon S3

About

Anchored in my foundational education in Information Technology from Delhi Technological University, I currently innovate as an SDE-2 on Amazon's JWO team. Our team leverages the power of deep learning models to enhance feature generation from camera streams, integral for the seamless operation of Amazon Go's customer tracking and hypothesis generation. My expertise in AWS and Big Data ecosystems, honed by crafting real-time data pipelines and distributed query systems, fuels our team’s pursuit of technological breakthroughs. The collaborative spirit at Amazon fosters my passion for developing scalable solutions that push the boundaries of online retail experiences.

Experience

5 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs

Current Experience

Amazon

SDE-2

May 2022 – Present · 4 yrs · Bengaluru

Building large-scale computer vision systems that process camera streams (cloud + edge) to generate features for real-time customer tracking and product interaction insights.
Key Contributions
🔹 Shadow Service Regional Migration (2025)
Led migration from legacy RPC to IDL-based architecture, enabling scalable regional deployments
Designed distributed data retrieval to overcome cross-region bandwidth/memory constraints
Consolidated APIs and modernized SDKs, improving system maintainability
🔹 Next-Gen Edge Hardware Launch (2024–2025)
Enabled pilot by validating GPU + ML runtime on new OS/processor architecture
Drove end-to-end security certification, establishing reusable compliance baseline
Built shared Infra as Code library to simplify onboarding and reduce migration effort
🔹 Computer Vision on Edge — Launch & Optimization (2023–2024)
Led rollout of Computer Vision models to 30+ stores with zero spillover
Reduced infra cost by 74% ($261K → $68K) via performance optimizations
Enabled quantized inference on new hardware through pipeline redesign
Cut bandwidth by 30% and compute usage by 50% while maintaining accuracy
Tech: Java, AWS (ECS, NLB, S3, CloudFormation), CDK, Guice

JavaAWS (ECS, NLB, S3, CloudFormation)CDKGuiceAWSComputer Vision

Flipkart

Software Development Engineer

Jul 2020 – Apr 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

Part of the Audience Manager Team at Flipkart. Audience Manager is Flipkart-wide user segmentation platform responsible for creating audiences for targeted ads/campaigns/coupons..
Worked on projects like developing Real-time Pipeline using Spark streaming, spark batch jobs for data ingestion and creating a distributed query system over ElasticSearch to generate insights for audiences.
Worked on dockerisation of our stateless services, developing CI/CD pipelines and deploying the services on Kubernetes.

Spark StreamingElasticSearchDockerKubernetesBig DataCloud Computing