Sanil Mohandas
Dallas,TX
Summary
Senior Engineer with architecting high-scale Gen AI automation systems for AWS Support. I specialize in replacing heuristic decisioning with rigorous probabilistic ML, ensuring production AI systems are not just fast, but mathematically self-aware. Expert in deploying custom Bayesian Logistic Regression models and multi-LLM consensus frameworks to strictly calibrate uncertainty and eliminate hallucinations. Deep expertise in AWS cloud architecture (Lambda, DynamoDB, Bedrock) and legacy modernization, delivering scalable solutions that transform business operations.
Overview
20
20
years of professional experience
Work History
Senior Software Engineer – Applied AI / GenAI
AWS
10.2022 - Current
- GenAI Classification Pipeline: Designed and deployed an enterprise-grade LLM classification pipeline, enhanced by a custom Bayesian uncertainty quantification engine (using Probit/Monte Carlo inference) to strictly calibrate confidence scores. Reduced mis-routed support cases by 50%+ and improved first-response resolution times by 35%.
- High-Scale Inference: Built high-scale LLM inference and fine-tuning workflows using AWS Bedrock, SageMaker, Ground Truth, and LangChain, powering real-time classification and decision-making across multiple AWS regions.
- Multi-Model Consensus: Developed a framework improving precision from ~10% → ~26%, reducing hallucinations and enabling safer autonomous decisions.
- Semantic Validation: Architected a semantic validation layer using LLMs to replace brittle regex-based detection, significantly reducing false OOD (Out-of-Domain) classifications.
- A/B Experimentation: Implemented infrastructure using AppConfig and WebLabs, supporting controlled rollout, impact measurement, and rapid safe rollback for production ML changes.
- Operational Efficiency: Reduced human annotation dependency to
- Low-Latency Engineering: Engineered real-time GenAI pipelines (
- Legacy Systems Strategy (2022-2023): Proposed tech strategy for unifying fragmented client interfaces and real-time query caching, projected to save ~$1.8M/year in AWS costs and reduce onboarding time from 4 weeks to
Senior Software Engineer
Amazon
10.2014 - 10.2022
- Payment Aggregation Model: Led requirement analysis and technical design for a new Aggregation Payment model for an Amazon subsidiary, integrating with multiple post-transaction systems for accounting, remittance, and risk management.
- KYC Portal & Control Plane: Designed and built a self-service portal and back-office for onboarding KYC documents. Created a single control plane for document collection rules, delivering the project within 3 months to meet governance mandates.
- Data Security & Migration: Proposed and executed a strategy to remove payment-critical data (e.g., card details) from the subsidiary boundary, migrating storage to an Amazon-recommended authoritative store to improve security and scalability.
- 3DS2.0 Implementation: Designed a measure to enforce risk-score based, non-MFA authentication (3DS2.0) for 3500+ merchants by repurposing existing orchestration, achieving compliance by the mandate date without requiring customer intervention.
- Legacy Migration: Successfully migrated >2000 merchants from a sunsetting gateway to a mature platform using a low-resource (0.25 HC) strategy, saving significant development effort.
- Workflow Automation: Designed a retry-enabled workflow system for over 100K daily magazine renewal notifications, replacing a brittle batch process.
- Subscription Platform: Developed an enriched offer model for Kindle Periodicals, supporting free trials, recurring pricing, and bundling. This reduced operational headcount from 20 to 1 by enabling self-service promotion management.
- EDI Migration: Migrated 3rd-party integration for publishing systems (CDS/Ebsco) from legacy EDI to Secure EDI on AWS.
Software Developer in Test
Amazon
05.2012 - 10.2014
- Pipeline Automation: Enhanced pipeline automation for Digital Pricing and Publishing systems. Designed an automation test suite built on top of Amazon SWF (Simple Workflow) allowing declarative definition of expected graph states.
- Visual Engineering: Repurposed workflow notification mechanisms to build a visualization UI, elements of which evolved to be used by AWS Step Functions.
Project Engineer
Teleca
03.2008 - 05.2012
- PureView Camera UI: Implemented advanced imaging features (Face Detection, Manual Focus) for Symbian S60 flagship devices, improving capture responsiveness and usability.
- Cross-Platform Porting: Migrated S60 camera capabilities to a Qt-based MeeGo camera application, unifying feature behavior across platforms.
- Memory Reliability: Built an internal memory-leak detection tool reducing debug time and improving long-session stability.
- Latency Diagnostics: Integrated Lauterbach instrumentation to analyze camera-pipeline latency and resolve critical bottlenecks.
- Program Integration: Supported multi-device camera integration, driving stability and readiness across several phone programs.
Project Engineer
Wipro
10.2005 - 03.2008
- Symbian Applications: Developed features and resolved defects across multiple Symbian S60 applications for Nokia flagship devices, improving stability and user experience.
- Automotive Integration: Enhanced features and fixed bugs for Nokia Car Kit software, ensuring reliable in-vehicle connectivity and operation.
- Route66 Streaming POC: Built a proof-of-concept enabling Route66 map streaming from a Symbian device to a Windows CE–based car kit over Bluetooth, demonstrating feasibility for cross-device navigation.
- Samsung SGH-810 Camera: Developed the camera application for Samsung’s first Symbian S60 smartphone (SGH-810), contributing to the device's imaging feature set.
- SGH-810 Phonebook: Implemented phonebook features such as keypad-based contact search, improving lookup speed and usability on the SGH-810.
Education
Bachelor of Technology - Information Technology
Anna University
Chennai03.2005
Skills
Programming Languages: Java, Python, Ruby, C, JavaScript, TypeScript, Perl, Amazon proprietary functional/query languages
AWS & Cloud: S3, DynamoDB, SQS, SNS, Lambda, API Gateway, Route53, CDK, AppConfig, SageMaker, Bedrock, Ground Truth
GenAI & ML: LLMs, GenAI pipelines, LangChain, uncertainty quantification, semantic validation
Frontend Frameworks: React, Angular, Svelte
Schema / IDL: Ion, JSON Schema, XSD
Systems & Infrastructure: Kubernetes, CI/CD, configuration management, load testing, shadow testing
Engineering Practices: Agile/Scrum, A/B testing, data classification & protection, version control
Timeline
Senior Software Engineer – Applied AI / GenAI
AWS
10.2022 - Current
Senior Software Engineer
Amazon
10.2014 - 10.2022
Software Developer in Test
Amazon
05.2012 - 10.2014
Project Engineer
Teleca
03.2008 - 05.2012
Project Engineer
Wipro
10.2005 - 03.2008
Bachelor of Technology - Information Technology
Anna University