I’m a Senior AI & Full-Stack Engineer with 7+ years of experience building scalable systems for global financial leaders. I specialize in AI-driven automation for non-tech users and in delivering end-to-end AI Agents using Python, Django, and LLMs (Azure OpenAI/GPT-4). I turn complex data into founder-friendly tools such as automated briefs and task bridges, orchestrate distributed microservices with Kafka, and craft responsive React/TypeScript interfaces that are secure, production-ready, and easy to use for non-technical stakeholders.

Pavithra Krishnamurthy

I’m a Senior AI & Full-Stack Engineer with 7+ years of experience building scalable systems for global financial leaders. I specialize in AI-driven automation for non-tech users and in delivering end-to-end AI Agents using Python, Django, and LLMs (Azure OpenAI/GPT-4). I turn complex data into founder-friendly tools such as automated briefs and task bridges, orchestrate distributed microservices with Kafka, and craft responsive React/TypeScript interfaces that are secure, production-ready, and easy to use for non-technical stakeholders.

Available to hire

I’m a Senior AI & Full-Stack Engineer with 7+ years of experience building scalable systems for global financial leaders. I specialize in AI-driven automation for non-tech users and in delivering end-to-end AI Agents using Python, Django, and LLMs (Azure OpenAI/GPT-4).

I turn complex data into founder-friendly tools such as automated briefs and task bridges, orchestrate distributed microservices with Kafka, and craft responsive React/TypeScript interfaces that are secure, production-ready, and easy to use for non-technical stakeholders.

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Experience Level

Expert
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Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior Software Engineer – AI Agents & Full-Stack at Citibank
May 1, 2024 - March 1, 2025
Architected and deployed enterprise-grade AI Agents using Python and Django to automate complex customer support workflows and fraud mitigation, handling over 1.2M monthly conversations with a user-centric focus. Developed 'The Filter' summarization engines using Azure OpenAI and LangChain to condense high-volume banking logs and messages into actionable daily briefs, improving executive decision-making speed by 40%. Engineered modular conversation orchestration layers with TypeScript and Node.js to maintain deep context across multi-session interactions, reducing average handling time from 4.5 to 2.8 minutes. Built and integrated 'The Bridge' automation pipelines with Django and Celery to trigger cross-platform actions when transaction thresholds are met, eliminating hundreds of manual-entry hours. Implemented 'The Ghostwriter' using Whisper and GPT-4 to convert analyst voice notes into compliant financial reports, reducing drafting cycles by ~30%. Designed 'The Watchdog' monitoring s
Software Developer – ML Pipelines & Backend at Fidelity Investments
June 1, 2022 - May 1, 2024
Built robust backend microservices in Java/Spring Boot powering portfolio analytics with 3M+ daily interactions. Developed Python-based ML pipelines (scikit-learn, XGBoost) to generate personalized investment risk scores, increasing feature adoption by retail users. Created a high-performance model-serving layer with Django Rest Framework, reducing inference latency from 1.5s to 600ms for time-sensitive apps. Designed Kafka-based event-driven data pipelines processing 50K market events per second to deliver near real-time AI insights and alerts. Implemented an intelligent 'Watchdog' for anomalous portfolio behavior detection. Pioneered Generative AI adoption via Azure OpenAI to summarize dense prospectuses, saving 20-25% of daily reading time. Optimized PostgreSQL/Redis caching to cut API response times by 35% during high-volatility hours. Managed AWS cloud-native services (EC2, RDS, S3) with 99.95% uptime. Mentored 4 juniors; led portfolio analytics module design and sprint planning.
Software Developer – Fintech Scaling at Razorpay
July 1, 2019 - May 1, 2022
Delivered high-throughput payment processing services using Java and Spring Boot to scale to 10M transactions/day. Built Python-based fraud detection workflows with real-time ML scoring, reducing merchant chargeback exposure by 25 basis points. Designed Kafka-driven event streams to track the complete payment lifecycle, enabling real-time AI insights across microservices. Implemented cross-system automation ('The Bridge') to sync payment status changes across dashboards and accounting tools, reducing data silos. Ensured PCI-DSS compliant payment flows with strong encryption and tokenization. Developed internal dashboards in ReactJS for monitoring transaction success rates, reducing ops triage time by 50%. Added Redis caching for merchant config to lower repeated DB calls by 40%. Dockerized services and managed Kubernetes deployments to scale during spikes. Automated CI/CD through Jenkins and shell scripts for frequent deployments and reduced production errors. Collaborated with product
Associate Software Developer – Core Engineering at PhonePe
August 1, 2017 - June 1, 2019
Developed backend APIs in Java/REST to support early UPI payment flows, enabling scale to 50M users. Supported architectural transition during exponential traffic growth post-2018, achieving 99.9% service availability. Authored optimized MySQL queries and stored procedures for financial reporting, reducing data retrieval times by 60%. Contributed to early fraud detection systems using rule-based logic, laying the groundwork for AI-driven security. Built responsive frontend modules with Angular/TypeScript to enhance the web-based payment portal, improving transaction completion rates. Integrated banking APIs and NPCI to maintain high success rates during bank downtimes. Partnered with senior engineers to modularize backend components into maintainable microservices. Implemented PCI-DSS compliant data handling and secure communications.

Education

Master of Science: Artificial Intelligence and Machine Learning at Purdue University
January 11, 2030 - May 1, 2026
Master of Science: Digital Electronics and Communication Systems at Visvesvaraya Technological University
January 11, 2030 - October 1, 2017
Master of Science: Artificial Intelligence and Machine Learning at Purdue University
January 11, 2030 - May 1, 2026
Master of Science: Digital Electronics and Communication Systems at Visvesvaraya Technological University
January 11, 2030 - October 1, 2017

Qualifications

Google Cloud Certified: Professional Machine Learning Engineer
January 11, 2030 - June 29, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - June 29, 2026
Kubernetes Certified: Certified Kubernetes Administrator (CKA)
January 11, 2030 - June 29, 2026
Google Cloud Certified: Professional Machine Learning Engineer
January 11, 2030 - June 29, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - June 29, 2026
Kubernetes Certified: Certified Kubernetes Administrator (CKA)
January 11, 2030 - June 29, 2026

Industry Experience

Financial Services, Software & Internet, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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