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SIDHARTH SAMPATHI RAO

Associate Software Engineer at Thomson Reuters | Ex SDE -Quick Heal,4cRisk.ai,ICICI PAMC | Google CAF’25 ,DSC’23 | Python & Backend Software Developer . AWS |

Bengaluru

3+ years of work experience

Thomson Reuters
Aug 202511 mosPresent

Greater Bengaluru Area

◦ 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.
Quick Heal
Feb 20257 mosAug 2025

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.
4CRisk.ai
Jun 20247 mosDec 2024

◦ 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.
4CRisk.ai
Mar 20244 mosJun 2024

ICICI Prudential AMC Ltd
Oct 20235 mosFeb 2024

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
Codegnan
Apr 20234 mosJul 2023

Vijayawada, Andhra Pradesh, India

SIDHARTH’s AI Stack

cursor
cursor
langchain
langchain
n8n
n8n
openai
openai

Education

Jawaharlal Nehru Technological University Kakinada (JNTUK)

Bachelor of Technology - BTech, Computer Science & Engineering

Jawaharlal Nehru Technological University Kakinada (JNTUK)

20213 yrs2024
kendriya vidyalaya

High schooling, Science

kendriya vidyalaya

20128 yrs2020

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Headline

Associate Software Engineer at Thomson Reuters | Ex SDE -Quick Heal,4cRisk.ai,ICICI PAMC | Google CAF’25 ,DSC’23 | Python & Backend Software Developer . AWS |

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

cursor

langchain

n8n

openai

Work experience

Associate Software Engineer at Thomson Reuters, Aug 2025 - Present · 11 mos, Greater Bengaluru Area, ◦ 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