C# Generative Ai

Shristi Srivastava

Seattle, WA *******@**.*** 512-***-**** /in/srivastavashristi/

PROFESSIONAL SUMMARY

Senior Backend Engineer with 11+ years designing and building cloud-native distributed microservices on Azure, specializing in C#/.NET, Python, SQL/Cosmos DB, and Docker/Kubernetes. Skilled at optimizing performance and availability using robust CI/CD automation. Experienced in applying generative AI, fine-tuned LLMs, and efficient ML pipelines to complex backend systems, with proven ability to deliver scalable, reliable, and performant solutions. SKILLS

Languages & Frameworks: C# (.NET Core, ASP.NET MVC), Python (Flask/FastAPI), JavaScript (Node.js, React), PowerShell, SQL Cloud & DevOps: Azure (Functions, App Services, AKS, Cosmos DB), Docker, Kubernetes, GitHub Actions, Azure Pipelines CI/CD Backend & Data: REST APIs, gRPC, GraphQL, SQL Server, Cosmos DB, Spark, Kafka, Azure Service Bus, Event Hubs Practices: Distributed Systems, Microservices Architecture, High Availability & Low Latency, Agile/Scrum, TDD EXPERIENCE

Generative AI & ML Researcher (Master’s Thesis) May 2024 - Present DAIS Lab, University of Washington Bothell, WA

● Lifted engagement by 40% and reduced dropout by 35% with an autism-aware chatbot (QLoRA-fine-tuned LLaMA 3.2) deployed on CPU via llama.cpp; cut infra cost to $15/mo.

● Improved factual grounding to 98% by integrating RAG (LlamaIndex, LangChain) on 60K+ dialogues; quantized model size 88%

(from 24GB to 2.9GB) achieving <1s latency.

Independent Researcher Google Scholar: 72 citations h-index: 4 February 2020 – Present

● Published peer-reviewed ML research on recommender systems, biometric security & generative AI, delivering rigorously validated models ready for real-world deployment at scale. Technical Lead March 2013 - January 2020

Atos Helsinki-Finland, Wroclaw-Poland, and Pune-India

● Reduced deployment times by 40% for critical enterprise apps by implementing Docker-based Azure CI/CD pipelines with zero-downtime governance processes.

● Built a microservices-based incident management platform for Airbus, integrating 3 vendor systems via REST APIs and SLA- driven alerting (Azure Functions), accelerating resolution by 40%.

● Designed optimized SQL Server schema (200+ tables, 3TB data); reduced query latency 70%; mentored a 20-engineer distributed team, improving test coverage (45% 80%) and cutting production defects (30%) .

● Saved $30K/year and achieved zero data loss for Fortum by architecting a hybrid Azure pipeline (Event Hubs + Data Factory) to unify real-time and SCADA-based batch telemetry from energy plants.

● Led and mentored a 20-engineer distributed team, boosting test coverage from 45% to 80% and reducing production defects by 30% through rigorous code reviews, QA automation, and DevOps best practices. Senior Software Engineer July 2011 - January 2013

Genpact Noida, India

● Led agile teams to design and ship secure SharePoint/ASP.NET MVC intranet portals on SQL Server, increasing workflow throughput 15 % while hitting 100 % of release SLAs through rigorous QA and senior-stakeholder alignment. Senior Systems Engineer October 2008 - June 2011

Infosys Chennai, India

● Reduced insider trading incidents by 20% and boosted fraud detection rates by 40% by developing and deploying advanced real-time fraud detection models using Actimize and custom anomaly detection algorithms for a $90B financial institution. EDUCATION

Master of Science in Computer Science and Software Engineering September 2023 - June 2025 University of Washington Bothell, WA

● Relevant Coursework: Data Structure & Algorithms, Parallel Programming in Grid & Cloud, Multimedia Database Systems, Mobile Computing, Software Architecture and Design Bachelor of Engineering - Information Technology July 2004 - June 2008 Rajiv Gandhi Technical University Bhopal, India

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