Deval Thakkar

Deval Thakkar

$40/hr
AI-driven automation expert | Python, FastAPI, LangChain | Scalable testing | RAG | PyTorch | AWS
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
41 years old
Location:
Bengaluru, Karnataka, India
Experience:
5 years
Deval Thakkar Senior SDET Address Bangalore, KA 560078 LinkedIn https://www.linkedin.com/in/deval-t- Phone - a-/ E-mail-SUMMARY: Senior SDET with 5+ years of experience architecting scalable automation platforms, backend APIs, and distributed systems using Python, FastAPI, AWS, and LangChain for LLM-driven workflows testing with (Langtest,Ragas,Pytorch) Proven expertise in system design, CI/CD optimization, and async processing for highvolume data (500K+ records). Delivered robust, production-grade solutions leveraging Gen AI (RAG) for dynamic validations and real-time insights—now targeting engineering roles focused on high-impact, AI-powered product delivery. Skills Languages:Python (Advanced), SQL (Intermediate), Java (Basic), JavaScript (Basic) Backend & Testing:FastAPI, Pytest, Selenium, REST APIs, Postman, Swagger, GenAI[LangChain, RAG pipelines, LLM APIs (OpenAI, Ollama)] LangTest,Ragas Cloud & DevOps: AWS (S3, Lambda, EventBridge, SageMaker, CodePipeline), Docker, Jenkins, kubernetis,Vector Databases (Chromadb), CI/CD tools, Git works & Tools:Async Processing, Microservices, Redis, PySpark (Basic), PyTorch, Prompt Engineering, Prompt Chaining, Hugging Face Transformers (basic), Fine-tuning LLMs (basic), TestCollab, Test Case Management Tools (Xray–Jira) Core Competencies: System Design, Distributed Systems, CI/CD, Big Data Validation, Test Strategy, LLM-driven Automation, Retrieval-Augmented Generation (RAG) Other: Shift-left Testing, , CAPA/GDPR test compliance,Excellent Interpersonal Communication Work Experience 2024-04 - 2025-03 Sr Software Engineer Zucitech Software Solution Pvt Ltd , Bengaluru • Architected a Pytest + FastAPI framework with advanced trackbacks handling, cutting • • • • • 2023-01 - 2023-10 runtime by 50% and debugging time by 60%. Designed and deployed an async Redis-backed pipeline processing 500K+ records, reducing batch time from 7 days to 1 hour (6x throughput gain). Automated CI/CD using Jenkins, Docker, and Linux environments, eliminating 70% manual steps and accelerating deployments. Worked with PyTorch-based ML/LLM models for inference and basic validation, ensuring integration into production APIs and data workflows. Delivered RESTful reporting APIs and dashboards, reducing defect triage time by 70% and enabling real-time insights. Conducted end-to-end LLM testing using LangTest (bias, consistency, hallucination checks) and RAGAS (retriever relevance, retrieval+generation synergy testing), ensuring robust and production-grade LLM workflows. Lead Software Developer(QA) Altencalsoft Lab (India) P Ltd, Bengaluru • Built a FastAPI test automation framework integrated with Xray–Jira, boosting coverage by 30% and cutting manual QA by 50%. • Automated deployments via linux based AWS CodePipeline, CodeBuild, and Docker, improving release stability and speed by 40%. • Integrated LangGraph and RAG pipelines to validate complex data workflows and enable dynamic API testing. • Conducted end-to-end LLM testing using LangTest (bias, consistency checks) and RAGAS (retriever and generation accuracy). • Engineered a layered Selenium + Pytest system, increasing defect detection by 25% in test flows. • Conducted testing of PyTorch-based ML and LLM models,(Inference correctness,Integration), ensuring they met expected output and integration with other systems. • Implemented Grafana-based 24/7 test observability and ensured CAPA/GDPR compliance. 2021-06 - 2023-01 Senior QA Engineer Nolan Edutech Pvt Ltd, Bengaluru • Built a Selenium-backed API and DB validation suite for Masai onboarding, cutting manual verification by 70% and improving data accuracy. • Automated end-to-end onboarding with Python + FastAPI, reducing process time from 3 days to 1 day and boosting verification success by 80%. • Integrated AWS CodePipeline with SQL-based data validation for complete backend-todatabase test automation. 2020-11 - 2021-05 QA Specialist CodeJudge It Solution India Pvt Ltd, Bengaluru • Built automation suites using Python + Pytest, improving functional test efficiency by 50% across APIs and workflows. • Designed a scalable API test framework with Locust for load testing and Selenium (Java, POM) for UI flows, reducing manual effort by 60%. • Integrated test pipelines via AWS CodePipeline + Lambda, automating regression and reducing release cycles by 30%. Projects & Accomplishment • Scalable API Development(Fastapi) Automation (pytest,async) (Disney • • • • • OTT):Architected a Redis + Kafka-backed async API batching system with worker queues, processing 500K+ OTT records per job; reduced latency by 90%, integrated Locust for load profiling, and scaled with AWS Lambda using event-driven microservices principles. Parental Control Validation (Disney OTT):Built a high-throughput data compliance system validating millions of access control records, reducing backend load by 40% through optimized schema parsing and parallel pipelines; aligned with GDPR/CAPA and integrated alerting for policy breaches. GenAI Compliance Insights Engine (OTT, Disney OTT Data): Architected a LangChain-powered RAG pipeline to generate compliance insights and policy summaries from OTT logs. Deployed an async FastAPI microservice using LangGraph for scalable LLM-based retrieval (ChromaDB) and integrated Slack alerts for policy breaches, reducing manual oversight by 50%. No-Code/Low-Code Framework (Eli Lilly): Engineered a domain-agnostic, drag-anddrop automation platform using Selenium POM (Java) and YAML-driven test specs, cutting QA cycle time by 60% and empowering non-technical teams to build, deploy, and maintain end-to-end test flows without code. Onboarding Pipeline (Masai School): Built a robust onboarding pipeline integrating UI validations (Selenium), backend checks, and CI/CD via AWS CodePipeline, reducing manual setup by 40% and boosting data verification accuracy to 99%+ across real-time student data ingestion. Fleet Management CRM (Microsoft CRM): Automated backend and UI workflows for 50+ fleet operations in a custom Microsoft CRM system, enabling seamless regression via Dockerized test execution and API/UI test fusion; delivered end-to-end test reliability for dynamic vehicle and inventory modules. Award & Certifications 2023-01 Google Certification of Python 2024-07 Employee of the Month 2025-02 Pyspark in Action (coursera) Education 2021-12 - 2024-06 B.E: Computer Science Dr. A.P.J. Abdul Kalam University University - Indore CGPA:- 8 Relevant Coursework: Algorithms, Distributed Systems, Cloud Computing 2018-06 - 2021-06 Diploma: Computer Science Dr. A.P.J. Abdul Kalam University University - Indore CGPA:-7
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