Headline

ASE @ Thomson Reuters | Building Scalable Backend Solutions

About

I’m a Python-first backend engineer who enjoys turning high-volume data and complex business workflows into reliable, automated systems that scale. Currently at Thomson Reuters, I contribute to the Westlaw Legal platform, building cloud-native backend services using Python and AWS (Lambda, DynamoDB, Step Functions). My work focuses on large-scale document ingestion, distributed processing, observability, and performance optimization across high-availability systems. Previously at Quick Heal, I engineered AI-driven localization systems and cross-platform automation pipelines for security products. At 4cRisk.ai, I designed parsing pipelines that processed 1.7M+ records, migrated file-based workflows to production-grade database systems, and significantly reduced processing latency through backend optimization. Beyond core backend engineering, I actively prototype POCs, explore AI integrations, and build automation workflows that reduce operational overhead. I enjoy diving deep into system behavior, improving reliability, and owning features from design to production. If you’re building scalable backend platforms, AI-enabled systems, or automation-heavy infrastructure, I’m always open to meaningful conversations.

Location

Bengaluru

AI stack

aistudio

cursor

langchain

openai

Work experience

ASE - Data Engineering at Thomson Reuters, Jul 2026 - Present · 1 mo, Greater Bengaluru Area · Hybrid

Associate Software Engineer at Thomson Reuters, Aug 2025 - Jul 2026 · 1 yr, Greater Bengaluru Area · Hybrid, ◦ Contributing to the Westlaw Legal platform under Project VARS – Load & SPDF, developing and maintaining scalable Python-based backend services that support high-availability legal research systems handling large-scale document and search workloads. ◦ Designed and deployed AWS serverless architectures (Lambda, DynamoDB, S3, Step Functions) to automate ingestion and processing workflows, improving execution efficiency by 30%+ and reducing manual intervention across VARS Load pipelines. ◦ Led multiple internal Proof-of-Concept (POC) initiatives and knowledge-sharing sessions, implementing MCP-based integrations and n8n workflow orchestration. ◦ Enhanced observability and performance by leveraging Kibana, DataDog, and AWS monitoring tools, reducing issue resolution time by 25% and improving API stability across SPDF processing services.

SDET at Quick Heal, Feb 2025 - Aug 2025 · 7 mos, Bangalore Urban, Karnataka, India, - Engineering a multilingual translation system leveraging multiple AI/LLM models for scalable application localization. - Designing and developing reusable Python libraries for automating Linux CLI and macOS build processes, enabling efficient testing and deployment of security endpoint solutions. - Actively contributing to telemetry development, focusing on real-time tracking of events across products and organizational operations, including detailed event mapping for sales and usage analytics - working with in the Central Engineering (R&D) team to build robust build automation pipelines using Python and Jenkins for development and production builds.

Associate Software Engineer at 4CRisk.ai, Jun 2024 - Dec 2024 · 7 mos, ◦ Streamlined API development by Django integration according to the business requirements, resulting in a 80% reduction in API response time. ◦ Improved search efficiency by optimising Elasticsearch & MySQL queries, reducing query execution time by 30%. ◦ Boosted model efficiency by almost 50% via process optimisation, reducing processing time from 40 minutes to 18 minutes per 100 records. ◦ Implemented centralized environment configurations to minimize the need for API restarts with every configuration change.

Associate Software Engineer at 4CRisk.ai, Mar 2024 - Jun 2024 · 4 mos

RP Automation Developer at ICICI Prudential AMC Ltd, Oct 2023 - Feb 2024 · 5 mos, Goregaon, Maharashtra, India, ◦ Designed an end-to-end stocks processing automations , using UiPath integrated mysql and AWS usage for better processing and faster product output. ◦ Tools Used: UiPath, Mysql, AWS S3 Buckets

Software Developer at Codegnan, Apr 2023 - Jul 2023 · 4 mos, Vijayawada, Andhra Pradesh, India

Education

Bachelor of Technology - BTech, Computer Science & Engineering, Jawaharlal Nehru Technological University Kakinada (JNTUK)

High schooling, Science, kendriya vidyalaya