Experience

Software Engineering

Building scalable systems and elegant user experiences

I have full-stack development experience with modern frameworks, distributed systems, and cloud infrastructure. From React frontends to Spring Boot microservices, I enjoy building robust and scalable solutions.

Work Experience

Summer Engineer Analyst

Goldman SachsDallas, Texas, USAAug 2025
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  • Deployed TalentFlowAI, a multi-step agentic AI pipeline using LangChain Agents and Tool calling to automate candidate profiling
  • Implemented embedding-based semantic scoring and decision pipelines to automate applicant prioritization and screening workflows
  • Built an internal recruitment platform using React, TypeScript, and MongoDB, supporting workflows for 100+ recruiters in HCM division
  • Optimized Spring Boot services and MongoDB pipelines with asynchronous processing, improving API latency by 5% for recruiter-facing systems
  • Built reusable, WCAG-compliant UI components using GS' design system, accelerating feature delivery by 11% ensuring consistent UX
  • Collaborated in Agile teams to deliver type-safe React features, platform optimizations, and AI-driven integrations for recruiter-facing systems

Product Manager, Research Systems

Saint-Gobain ResearchTamil Nadu, IndiaJun 2024
Saint-Gobain Research logo
  • Led development of a web-based analytics platform tracking glass performance across 15 experimental use cases (glass fiber)
  • Defined data standards and metadata governance to support real-time comparison of 30+ material scenarios, reducing analysis time by 12%
  • Developed Node.js backend services and integrated Python data pipelines for automated ingestion, processing, and validation
  • Integrated research analytics with Salesforce and HubSpot APIs to support automated technical reporting and customer insights

Associate Product Engineer

TeleAppsTamil Nadu, IndiaMar 2023
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  • Engineered event-driven ML inference services using Kafka, FastAPI, Redis caching, and ONNX runtime, enabling asynchronous model scoring and sub-200ms response times under concurrent campaign workloads
  • Deployed Containerized microservices for real-time inference and internal reporting, implementing model versioning, lazy loading, and request-level caching, reducing cold-start latency and inference load time by ~20%
  • Created end-to-end feature engineering pipelines using pandas and time-series transformations including lag features, rolling windows, seasonality indicators, and trend decomposition, improving model stability by ~15%

Technology Analyst

Bahwan CyberTekChennai, Tamil Nadu, IndiaFeb 2022
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  • Supported enterprise data by extracting, validating, and reconciling large datasets across multiple systems to improve client reporting accuracy
  • Built Python based data analysis scripts and dashboards to evaluate user behavior and market trends for consulting and delivery teams
  • Assisted in configuring project workflows using Adobe Workfront, supporting task tracking, documentation, and cross team coordination across analytics projects

Technical Skills

PythonCC++JAVARRubyJavaScriptTypeScriptGoRustBash/Shell ScriptingGitRESTful APIsGraphQLDockerAWSAzureJenkinsKubernetesMongoDBMySQLSpring BootAdobe WorkfrontReact.jsNode.jsHTML5DjangoFlaskRuby on RailsWeb DevelopmentSDLCVersion Control SystemsAPI DesignSoftware ArchitectureCross-Platform Development