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Vetted System Design Professionals

Pre-screened and vetted.

RT

Rhutwij Tulankar

Screened ReferencesStrong rec.

Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization

San Francisco, CA11y exp
RecruiticsRochester Institute of Technology

Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.

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VB

Vigynesh Bhatt

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend, cloud, and ML systems

Salt Lake City, UT4y exp
Goldman SachsBrigham Young University

Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.

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GK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning

San Francisco, CA5y exp
MetaUniversity of Central Missouri

ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.

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SR

Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems

29y exp
Santa Ana BioCarnegie Mellon University

Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.

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RR

Director-level Engineering Leader specializing in SaaS, Cloud Migration, and Cybersecurity

Santa clara, CA8y exp
CiscoTexas Tech University

Senior engineering leader with experience at Cisco, Amazon, and startup Shopkick, operating at high scale (e.g., Secure Web Gateway handling ~40M QPS). Known for measurable impact across reliability and cost (85% efficacy improvement; Datadog spend cut from ~$500k/month to ~$15k/month) and for leading complex platform modernization (1-year monolith-to-microservices/event-driven migration with zero customer impact) plus compatibility-focused API design that cut device onboarding from a month to a day.

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AT

Andrew Tsai

Screened

Principal Customer Success Manager specializing in Enterprise SaaS expansion

San Francisco, CA11y exp
BrazeCarnegie Mellon University

Enterprise Customer Success/Account Manager with deep Braze martech expertise, driving adoption, renewals, and expansion across major consumer brands. Notable wins include growing a nationwide coffee retailer account from $400k to $1.2M, securing a $100k+ TAM upsell through expectation resets, and turning a churn-risk DTC onboarding into a case study and conference speaker via cross-functional execution and product feedback loops.

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AC

Aesha Choksi

Screened

Director-level Engineering Leader specializing in Cloud Security and Data Platforms

San Francisco, CA20y exp
SysdigCalifornia State University, East Bay

Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.

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GW

Senior Software Engineer specializing in SRE, cloud automation, and reliability tooling

Sunnyvale, CA11y exp
LinkedIn

Technically oriented builder focused on taking ambiguous LLM/agentic workflow needs from scoped problem definition to iterative prototypes, with emphasis on edge cases and customer feedback. Has hands-on experience debugging RAG/agent systems, including resolving a real integration issue involving search query quoting differences between manual search and an API, and is comfortable fielding deep developer Q&A in demos.

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PK

Mid-Level Software Engineer specializing in Android and experimentation

Menlo Park, CA3y exp
MetaSanta Clara University
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GR

Mid-level Backend/Platform Engineer specializing in AWS, Kubernetes, and FinTech automation

3y exp
AncestryNortheastern University
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KK

Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms

San Jose, CA29y exp
CognizantNYU
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GP

Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI

Foster City, CA21y exp
Perthera AIIIT Kharagpur
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WS

Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services

Seattle, WA3y exp
AmazonUCLA
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DP

Mid-level Software Engineer specializing in backend APIs and AWS cloud infrastructure

IL, USA4y exp
GoogleDePaul University
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SD

Intern AI Product Manager specializing in enterprise AI security and agent platforms

Redmond, WA1y exp
MicrosoftPurdue University
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XW

Junior Software Engineer specializing in backend systems and distributed infrastructure

Remote1y exp
AI-Powered Educational Analytics PlatformCornell University
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SK

Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search

Remote17y exp
GenentechJawaharlal Nehru Technological University
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LJ

Mid-Level Backend/Full-Stack Software Developer specializing in Java, AWS, and cloud-native APIs

USA4y exp
JPMorgan ChaseSaint Louis University
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AB

Senior Software Engineer specializing in scalable cloud microservices and AI integration

San Francisco, CA12y exp
MicrosoftSan José State University
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LK

Engineering Manager specializing in scalable platforms and FinTech SaaS

Fremont, CA14y exp
SalesforceGuru Gobind Singh Indraprastha University
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NM

Staff Software Engineer specializing in headless commerce and developer platforms

New York, NY10y exp
ShopifyUniversity of Florida
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XG

Mid-level Machine Learning Engineer specializing in reinforcement learning and multimodal AI

San Jose, CA5y exp
Tensor AutoUC Berkeley
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SR

Senior Java Full-Stack Developer specializing in cloud-native microservices

6y exp
Ant GroupUniversity of Central Missouri
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