Dhruv Suri

Software Engineer

San Jose, California, United States10 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected ML pipelines boosting productivity by 15%
Led large-scale data migrations improving ingestion reliability to 99.9%
Developed serverless applications reducing deployment time by 31%

Stackforce AI infers this person is a Backend-focused SaaS engineer with expertise in Big Data and Machine Learning.

Contact

Skills

Core Skills

Machine LearningAwsAutomationBig DataEtlCloud ComputingCi/cdJavaMicroservicesServerless ArchitectureSocial MediaScalable Systems

Other Skills

AWS BedrockSemantic SearchNatural Language ProcessingData FreshnessData StructuresReinforcement LearningTroubleshootingAWS EMRRedshiftData MigrationSparkData LakePipeline ManagementAzureCost Optimization

Experience

10 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

6 yrs 3 mos

Current Experience

Amazon

2 roles

Senior Software Development Engineer - SDE III

Promoted

Aug 2023 – Present · 2 yrs 9 mos

Architected ML pipeline generating AI READMEs for 400K+ datasets, leveraging LLMs(AWS Bedrock AI models), retrieval systems(RAG), and distillation learning to power semantic search across 400K datasets for natural language questions; boosted analyst productivity by 15%.
Built AI agent for on-call automation using troubleshooting guides, retrieval-augmented reasoning, and reinforcement learning (HITL); achieved 54% faster incident resolution and improved reliability. Researching on Strands.
Designed confidence-scoring and regeneration mechanisms ensuring data freshness and continuous improvement via human feedback loops.
Partnered with cross-org SDEs to integrate outputs into Amazon Q Agent, enabling semantic dataset discovery and natural language search within internal tools.

Machine LearningAWS BedrockSemantic SearchNatural Language ProcessingData FreshnessAWS

Software Development Engineer II

Feb 2020 – Aug 2023 · 3 yrs 6 mos

Working as SDE in Big Data Technologies Org that
manages Petabyte scale ETL pipelines processing billions of rows of data.
Leading multi-quarter multi-SDE project. Responsibilities include end-to-end design, stakeholder management, timeline alignment, SDE ramp up, task breakdown and prioritization.
Led large-scale data migration (250K+ datasets) to Spark/Parquet with automated DQ workflows using AWS EMR, Redshift & Lambda.
Designed benchmarking framework uncovering critical Redshift FGAC performance issues, enabling smooth rollout org-wide.
Scaled ingestion reliability from 93% → 99.9% for Amazon’s internal data lake pipelines (300K jobs/day)

Big DataETLAWS EMRRedshiftData Migration

Microsoft

Software Engineer Intern

May 2019 – Aug 2019 · 3 mos · Redmond, Washington

Optimized compute infrastructure for the Azure CI/CD pipeline team by migrating regular workloads to spot instances, delivering 4% cost savings while maintaining SLA compliance.
Engineered fault-tolerant recovery mechanisms with proactive 5-minute interruption handling, ensuring zero-impact workload transitions during pre-emption.
Applied time-series demand forecasting to predict Azure compute usage, reducing resource provisioning time by 13% and improving fleet utilization efficiency.

AzureCI/CDCost OptimizationFault ToleranceCloud Computing

Stony brook university

Graduate Teaching Assistant

Jan 2019 – May 2019 · 4 mos · Stony Brook, New York

Course: Data Structures and Algorithms

Oyo

2 roles

Senior Software Development Engineer

Promoted

Feb 2018 – Aug 2018 · 6 mos

Designed Pricing microservice in Java by decoupling business logic and implementations using rule triggers for execution. The service had strict availability, throughput and latency requirements which were designed on scalable distributed systems to handle the variation in load and were resilient to unpredictable system faults.

JavaMicroservicesDistributed Systems

Software Development Engineer

Feb 2017 – Feb 2018 · 1 yr

Engineered a serverless application on AWS Lambda for a pub-sub based deals engine using client’s click-stream data and current search criteria to provide real-time offers. This reduced build and deployment time by 31%.
Reduced TP90 latency for discovery service by 23% by efficient caching and asynchronous queries.

AWS LambdaServerless ArchitectureReal-time Data ProcessingAWS

Finup

Co-Founder

Mar 2016 – Jan 2017 · 10 mos · Gurgaon, India

Conceptualized and launched a contextual content discovery platform backed by Times Internet & GSV Labs.
Developed the tech stack from scratch to a finished product which involved an Android app, website and an Admin panel for uploading and editing news considering all customer and admin use cases.

Sprinklr

Product Engineer

Jun 2015 – Apr 2016 · 10 mos · Gurgaon, India

Developed a scalable & pluggable abstraction layer for easy integration with social channels capable of
rate-limiting, polling, publishing messages, latency report based on configuration values with near-zero failure rate.
Enhanced features like custom fields, scheduled publishing, sentiment analysis. This enabled brands to monitor their social activity and reduce SLA across different social networking platforms as per their requirements.

Social Media IntegrationScalable SystemsSentiment AnalysisSocial Media

Amazon

Software Development Engineer-Intern

Jan 2015 – Jun 2015 · 5 mos · Hyderabad Area, India

Developed multiple data adapters for DB migration from SimpleDB to DynamoDB for Global Selling Team and contributed in horizontally scalable migration module to move 2Bn rows in parallel between DBs.