Senior Software Engineer's Expertise in GenAI Platforms and Backend Systems

Senior Software Engineer's Expertise in GenAI Platforms and Backend Systems

• 1.
  Sai Likhith Kanuparthi )sailikhithcse@gmail.com | 4 linkedin.com/in/sailikhithk | % sailikhith.me | . github.com/sailikhithk | y ResearchGate Summary Senior Software Engineer with 7+ years building service-oriented backend systems, LLM orchestration platforms, and routing/workflow infrastructure at Airbnb, Eli Lilly, Southwest Airlines, Shell, and Oracle. Author of 6 peer-reviewed publications (IEEE, SPE, Cambridge Scholars) and 1 filed patent. Open-source contributor to LangChain, LiveKit, Ragas, and awesome-llm-apps. Scientific judge at IIBT 2026 and invited resource person for AI/ML workshops. Sustained critical-role impact on production GenAI platforms serving 128+ stakeholders across 4 partner teams. Technical Skills GenAI / Agent Systems: LLM orchestration, prompt engineering (system + domain layered prompts, schema-sync validation), RAG retrieval patterns, agent planning, memory routing, multi-model abstraction (OpenAI GPT-4o/4.1/o1/o3, Claude 3.5-4.5 via Bedrock, Gemini 2.0-3.0 via Vertex, vLLM Qwen/Llama/Mixtral), embeddings, semantic clustering, eval frameworks, Presidio PII de-identification Backend & Routing: Service-oriented architectures, workflow orchestration (Celery, Airflow, Temporal), decision engines, routing rule management, REST APIs (v1 action-based + v2 resource-based), message queues (Kafka, RabbitMQ), async task pipelines (Redis-backed Celery) Languages & Frameworks: Python, Java, JavaScript/TypeScript, SQL; Flask, FastAPI, Django, Spring Boot, Streamlit, React, Next.js Cloud & Infra: AWS (Bedrock, SageMaker, Lambda, ECS, ElastiCache, S3), GCP (Vertex AI, BigQuery, Dataflow), Azure, Kubernetes, Docker, Istio, OpenShift, ArgoCD, Crossplane Data & Observability: Hive, Trino, PySpark, Databricks, SQLAlchemy, Alembic, PostgreSQL, MySQL, MongoDB; OpenTelemetry, Datadog, Grafana, Loki, distributed tracing Process: Agile/sprint planning, design docs, code review, on-call rotation, incident response, post-mortems, mentoring Experience Airbnb Sep 2024 - Present Senior AI Infrastructure & Systems Engineer, GenAI Platform (Contractor) San Francisco, CA (Remote) • Unified 30+ foundation models across 4 cloud providers (Azure OpenAI, AWS Bedrock Claude, Vertex Gemini, vLLM) behind a single FacadeDriver abstraction with per-model token-policy routing, as measured by 128+ stakeholders served across 4 partner engineering teams, by designing and owning end-to-end architecture of the BPI Virtual Analyst GenAI orchestration platform • Increased platform throughput 16x (600 to 10,000 rows per run) and upload capacity 4x (10MB to 40MB), as measured by zero mid-run signature-expiry failures after rollout, by implementing 500-row BlueLabel batching, chunked file streaming, decision-engine retry routing (batch_size=64, threads=20), and per-batch IAT JWT TTL pre-flight checks • Processed 40 fields per call within GPT-4o 16K output-token limits, as measured by zero schema-mismatch rejections in production, by designing a two-layer prompt engineering system (system-level JSON enforcement + domain instructions) with schema-sync validation between docx instruction templates and JSON output structure • Delivered 3 AI agent capabilities for case analysis (Insight Miner with 11-dimension reasoning, AI Clustering with semantic embeddings + silhouette scoring, Quick Skip memory flow), as measured by adoption across BPI analyst workflows, by applying agent-planning patterns over structured business cases for triggers, root causes, sentiment, preventability, and impact analysis • Contributed to Redpen V2 resource-based REST API and 5-layer Airflow DAG for label export, as measured by targeted 80% runtime reduction and 99.5%+ data consistency, by owning the Flask/Celery routing backend with Redis-backed async task orchestration for all Airbnb ML labeling workflows • Achieved full trace-ID propagation across every log line with OTEL metrics shipped to Datadog, as measured by consolidated OTEL MeterProvider singleton eliminating duplicate-metric errors, by engineering thread-local TraceContext + BPILogFormatter and wiring Telescope export in Redpen signal-handlers • Drove 80/10/10 test methodology adoption (80% analysis, 10% implementation, 10% validation) across the team, as measured by 2026 peer appreciations from 4 partner teams (CS Labs, HALO/AirCover, Luxe, BPI VA), by mentoring junior engineers on prompt engineering and platform debugging Eli Lilly and Company Feb 2024 - Aug 2024 Senior Software Engineer (Contractor), Dose Management Platform Philadelphia, PA (Remote) • Sustained 99.9% uptime over 6 months for an FDA-regulated radiopharmaceutical dose-order management backend, as measured by zero compliance violations under HIPAA, 21 CFR Part 11, and GxP, by owning architecture and production rollout on Spring Boot service-oriented architecture with Temporal workflow orchestration, Istio service mesh, and Crossplane-provisioned infrastructure
• 2.
  • Modeled domainconstraints as Temporal state machines across multiple production environments, as measured by successful rollout of dose ordering, manufacturing scheduling, capacity planning, and time-sensitive delivery routing workflows, by designing decision-engine workflows on Spring Boot with async retries • Maintained production reliability through on-call rotation and post-mortem culture, as measured by sustained CI/CD pipeline uptime with GitHub Actions, ArgoCD GitOps, Grafana/Loki, CloudWatch, and Entra ID auth, by implementing observability and incident response tooling Southwest Airlines Jan 2023 - Jan 2024 Senior Software Engineer (Contractor), Backend and Application Platform Dallas, TX (Remote) • Architected real-time flight-tracking pipelines across multiple consumer services, as measured by idempotent consumer processing with zero duplicate-event incidents, by designing Kafka streaming and RabbitMQ microservices with dead-letter queue handling for booking and notification routing • Raised unit-test coverage to 95%, as measured by 3 junior engineers mentored on agile practices, by building Flask/Django backend APIs with Java/Gradle services and leading code reviews with test-first methodology • Cut on-call MTTR 73% (45 to 12 minutes), as measured by structured runbooks and incident response process adoption, by implementing Elasticsearch search and TensorFlow/PyTorch predictive models for flight operations Shell Jan 2021 - Nov 2022 Senior Software Engineer (Contractor), Backend and Data Science Houston, TX (Remote) • Sustained 17M pageviews/month at 94% cache efficiency, as measured by 200+ performance bottlenecks cleared across the service-oriented stack, by building and operating an API-driven publishing service and profiling/optimizing hot paths in the routing layer • Cut feature lead-time 30% and tech debt 32%, as measured by automated historical-data extraction from Databricks and Azure, by deploying ML models on AWS SageMaker with Docker via ETL pipelines (ADF, Spark SQL, PySpark) • Improved NLP text-classification accuracy from 86% to 94% for drilling-loss events, as measured by publication at SPE ADIPEC 2022 (SPE-210986-MS), by developing a text-classification system with wildcard-regex feature engineering • Built a CNN-autoencoder model for acoustic impedance and a Responsible-AI POC, as measured by LIME/SHAP explainability integration, by implementing model interpretability tooling for production ML Oracle Sep 2017 - Jul 2019 Software Engineer, ERP Analytics and Data Engineering Bangalore, India • Boosted quarterly activity 20% across 13 business units, as measured by real-time decision dashboards adopted enterprise-wide, by building an ERP analytics backend with streaming aggregation pipelines • Architected real-time credit-card transaction routing on Kafka, as measured by ELK + AWS Kinesis fraud-detection pipeline deployment, by building streaming fraud-detection pipelines for financial transaction monitoring • Saved 600+ monthly work hours, as measured by Best Performer Q3 2018 award, by automating Performance Improvement Plan workflows across the ERP analytics backend Publications & Patent Book Chapter: “The Evolution and Rise of State Space Models in AI,” Ch. 1 in A Case-Based Study of State Space Models in Health Care, Cambridge Scholars Publishing, Dec 2025 (ISBN 9781036463335). ResearchGate Book Chapter: “Future Trends in AI for Cyberbullying Preventions,” Ch. 7 in Harnessing Generative AI to Combat Cyberbullying in Industry, Cambridge Scholars Publishing, Sep 2025 (ISBN 978-1-0364-5866-9). ResearchGate Book Chapter: “Why Traditional AI Methods Fail in Advanced Anomaly Detection,” Ch. 4 in Harnessing Generative AI to Combat Cyberbullying in Industry, Cambridge Scholars Publishing, Dec 2025 IEEE Conference Paper: “Advancing the Metaverse: The Convergence of Digital Twins, AI, and Emerging Technologies,” IEEE ICoACT 2025. IEEE Xplore IEEE Conference Paper: “Role of Artificial Intelligence to address Cyberbullying and Future Scope,” IEEE ICoACT 2023 (DOI: 10.1109/ICoACT57570.2023.10118947). IEEE Xplore SPE Conference Paper: “Full-Stack Machine Learning Development Framework for Energy Industry Applications,” SPE ADIPEC 2022 (SPE-210986-MS, DOI: 10.2118/210986-MS). OnePetro Patent: “Modular Deep Learning Architecture for Multi-Modal Data Processing,” Indian Patent Application No. 202541010770, filed Feb 2025 (complete specification + inventorship declaration filed) Judging & Peer Review Scientific Judge: IIBT 2026 International Conference on Innovative Bio-Engineering and Technology, accepted as scientific committee judge (invitation + acceptance letters on file) Hackathon Judge: MLH (Major League Hacking) judge application submitted 2026; evaluated hackathon projects on technical depth, innovation, and impact Invited Resource Person: AI/ML Drug Discovery Workshop, invited as online resource person for AI/ML lecture series (invitation letter on file) Mentoring: Topmate technical mentoring sessions on ML infrastructure, GenAI platform engineering, and career transitions for practicing engineers
• 3.
  Open-Source Contributions Ragas #2959:Fixed ContextPrecision metric returning 0.9999 instead of 1.0 for perfect retrieval ranking by removing unconditional epsilon in average-precision denominator (27/27 tests pass). PR LangChain #39351: Added Perplexity num_search_queries capture in usage_metadata for cost tracking, closing issue #31647 (30/30 tests pass). PR LiveKit Agents #6754: Added ReliabilityObserver for external reliability scoring in evals, closing issue #6707. PR awesome-llm-apps #1101: Migrated deprecated pathlib backport and PyPDF2 to pypdf across 5 files. PR Ragas #2954: Stripped deprecated top_p for Anthropic provider in InstructorLLM (10/10 tests pass). PR Microsoft/StudentsAtBuild: Contributed MS Build 2020 takeaways (merged) Awards & Recognition Google Foobar Challenge: Level 3 Winner, invited by Google for hidden coding challenge Oracle Best Performer: Q3 2018, recognized for automating PIP workflows saving 600+ monthly work hours Airbnb Peer Appreciations: 2026, multiple peer recognitions from BPI VA, HALO/AirCover, Luxe, and CS Labs partner teams (portfolio) Certifications: AWS Solutions Architect Professional, AWS Developer Associate, Azure Data Scientist Associate, GCP Data Engineer, ML Engineer Nanodegree, Oracle Java SE 8 Programmer Education New York University, Tandon School of Engineering Aug 2019 - May 2021 Master of Science in Computer Science, GPA 3.69 New York, NY Jawaharlal Nehru Technological University Aug 2013 - May 2017 Bachelor of Technology in Electronics & Communication Engineering, GPA 4.0 Andhra Pradesh, India