Headline

Engineering Leader | Ex-Skydo | Ex-Goldman Sachs (VP) | Ex-Moneyview, Oracle | Scaled Teams & Distributed Payment Systems, Agentic-AI | Real-time Platforms • Microservices

About

Engineering leader with 10+ years of experience in designing and scaling distributed systems, cloud-native architectures, and high-throughput data platforms. Proven expertise in building petabyte-scale data pipelines, global risk platforms (Goldman Sachs), cloud identity services (Oracle), and international payment systems (Skydo). Recently focused on AI-driven systems leveraging Generative AI and Retrieval-Augmented Generation (RAG) for intelligent data and automation solutions. Served as 𝐂𝐡𝐢𝐞𝐟 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐎𝐟𝐟𝐢𝐜𝐞𝐫 (𝐂𝐈𝐎) at Skydo, driving ISO 27001 and SOC 2 Type II compliance and implementing a comprehensive Data Loss Prevention (DLP) solution to enhance data protection and regulatory adherence. Skilled in Java, Python, Kotlin, and Go, with deep experience in modern data technologies (Spark, Hive, Iceberg, BigQuery) and cloud platforms (GCP, AWS, Oracle Cloud). Focused on system reliability, scalability, and resilience, while providing hands-on leadership in mentoring teams, defining technical strategy, and accelerating business outcomes through AI-powered innovations. Passionate about solving complex engineering challenges at scale, with proven impact across finance, payments, cloud infrastructure, and Generative AI applications.

Location

Bengaluru

AI stack

claude code

codex

cursor

langchain

langfuse

langgraph

Work experience

Engineering, Founding Engineer (First Engineer) & SDM at Skydo, Jun 2022 - Mar 2026 · 3 yrs 10 mos, Bengaluru, Karnataka, India, Built Skydo’s 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐩𝐚𝐲𝐦𝐞𝐧𝐭𝐬 & 𝐬𝐞𝐭𝐭𝐥𝐞𝐦𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 from scratch, scaling to 𝟏𝟎,𝟎𝟎𝟎+ 𝐜𝐫𝐨𝐬𝐬-𝐛𝐨𝐫𝐝𝐞𝐫 𝐭𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧𝐬/𝐝𝐚𝐲. Architected 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐨𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠 𝐟𝐥𝐨𝐰𝐬 (Sole Prop, LLP, Pvt Ltd, Partnerships, SMEs), reducing activation time 𝐟𝐫𝐨𝐦 𝐡𝐨𝐮𝐫𝐬 𝐭𝐨 𝐦𝐢𝐧𝐮𝐭𝐞𝐬. Built an 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐂𝐨𝐩𝐢𝐥𝐨𝐭 (Hybrid RAG, Tool Calling, Human-in-the-Loop), achieving 𝟔𝟓% 𝐚𝐮𝐭𝐨-𝐭𝐫𝐢𝐚𝐠𝐞 and 𝟑𝟓–𝟒𝟎% 𝐚𝐮𝐭𝐨/𝐚𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐫𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧, reducing 𝐟𝐢𝐫𝐬𝐭-𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞 𝐟𝐫𝐨𝐦 𝟗𝟎 𝐦𝐢𝐧 → 𝟏𝟎 𝐦𝐢𝐧 and cutting 𝐒𝐋𝐀 𝐛𝐫𝐞𝐚𝐜𝐡𝐞𝐬 𝐛𝐲 𝟓𝟎%. Developed 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: • 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐣𝐨𝐛 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞𝐫 (Quartz) • 𝐐𝐮𝐞𝐮𝐞𝐝 𝐣𝐨𝐛 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐲 (Spring Boot + JPA/Hikari + SQS JMS + Redis + PostgreSQL) • 𝐀𝐎𝐏-𝐛𝐚𝐬𝐞𝐝 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (Redis LockRegistry) • 𝐋𝐢𝐠𝐡𝐭𝐰𝐞𝐢𝐠𝐡𝐭 𝐫𝐮𝐥𝐞 𝐞𝐧𝐠𝐢𝐧𝐞 (Spring Data JPA + SpEL) Improved 𝐨𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐟𝐚𝐮𝐥𝐭 𝐭𝐨𝐥𝐞𝐫𝐚𝐧𝐜𝐞, and 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞, reducing production incidents by 𝟑𝟎%. Introduced 𝐆𝐞𝐧𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 for engineering (documentation automation, log analysis). Defined 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 for design, integrations, reliability, and deployments. Built 𝐀𝐖𝐒 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 across 𝐄𝐂𝐒, 𝐒𝟑, 𝐂𝐥𝐨𝐮𝐝𝐅𝐫𝐨𝐧𝐭, 𝐒𝐐𝐒, 𝐒𝐍𝐒, 𝐄𝐯𝐞𝐧𝐭𝐁𝐫𝐢𝐝𝐠𝐞, 𝐊𝐌𝐒, 𝐕𝐏𝐂. Mentored engineers in 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, and 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. As 𝐂𝐡𝐢𝐞𝐟 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐎𝐟𝐟𝐢𝐜𝐞𝐫 (𝐂𝐈𝐎): Led 𝐈𝐒𝐎 𝟐𝟕𝟎𝟎𝟏 & 𝐒𝐎𝐂 𝟐 𝐓𝐲𝐩𝐞 𝐈𝐈 certification, implemented org-wide 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐬, and deployed a comprehensive 𝐃𝐋𝐏 𝐩𝐫𝐨𝐠𝐫𝐚𝐦.

Vice President at Market Risk Technology at Goldman Sachs, Dec 2021 - Jun 2022 · 7 mos, Greater Bengaluru Area, Led engineering and architecture for 𝐌𝐀𝐑𝐒/𝐌𝐑𝐓, Goldman Sachs’ distributed market risk aggregation platform powering pricing, VaR, and stress-scenario analytics. Owned a 9-node, multi-terabyte distributed in-memory compute/data cluster, driving improvements in 𝐝𝐚𝐭𝐚 𝐬𝐡𝐚𝐫𝐝𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧, 𝐫𝐞𝐩𝐥𝐢𝐜𝐚 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲, and 𝐜𝐥𝐮𝐬𝐭𝐞𝐫 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧. Optimized ingestion of 𝐩𝐞𝐭𝐚𝐛𝐲𝐭𝐞-𝐬𝐜𝐚𝐥𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐚𝐧𝐝 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐝𝐚𝐭𝐚, enabling 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐫𝐢𝐬𝐤 𝐜𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 across global trading desks. Drove major enhancements in 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐥𝐨𝐰-𝐥𝐚𝐭𝐞𝐧𝐜𝐲 𝐚𝐜𝐜𝐞𝐬𝐬 𝐩𝐚𝐭𝐡𝐬, 𝐟𝐚𝐢𝐥𝐨𝐯𝐞𝐫 𝐥𝐨𝐠𝐢𝐜, concurrency, and 𝐆𝐂/𝐦𝐞𝐦𝐨𝐫𝐲 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 for risk-critical workloads. Partnered with quants, risk teams, and global engineering groups to define technical strategy, improve 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, and modernize distributed risk systems.

Associate at Market Risk Technology at Goldman Sachs, Aug 2020 - Dec 2021 · 1 yr 5 mos, Bengaluru, Karnataka, India

Sr. Software Development Engineer at Money View, Jul 2019 - Jul 2020 · 1 yr 1 mo, Architected and scaled the 𝐃𝐞𝐦𝐚𝐧𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦, orchestrating 𝐦𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐨𝐟 𝐄𝐌𝐈 𝐝𝐞𝐛𝐢𝐭 𝐢𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬 with SLA-bound scheduling, 𝐢𝐝𝐞𝐦𝐩𝐨𝐭𝐞𝐧𝐭 𝐫𝐞𝐭𝐫𝐢𝐞𝐬, and automated reconciliation — reducing manual operations by 𝟔𝟎%. Integrated multiple payment gateways with 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐭, 𝐡𝐢𝐠𝐡-𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, using 𝐜𝐢𝐫𝐜𝐮𝐢𝐭 𝐛𝐫𝐞𝐚𝐤𝐞𝐫𝐬, 𝐟𝐚𝐥𝐥𝐛𝐚𝐜𝐤 𝐫𝐨𝐮𝐭𝐢𝐧𝐠, and 𝐝𝐞𝐝𝐮𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 to ensure consistent, real-time payment processing at scale. Hardened 𝐦𝐢𝐬𝐬𝐢𝐨𝐧-𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 by partnering with business teams to deliver 𝐟𝐚𝐮𝐥𝐭-𝐭𝐨𝐥𝐞𝐫𝐚𝐧𝐭, 𝐚𝐮𝐝𝐢𝐭𝐚𝐛𝐥𝐞 𝐭𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐟𝐥𝐨𝐰𝐬 that improved system reliability and customer trust.

Sr Software Development Enginner at C&D Labs - Future Group, Jan 2019 - Jul 2019 · 7 mos, • Developed an innovative chatbot for Easyday members, enhancing order management capabilities. • Enabled users to place, update, or cancel orders seamlessly through the chatbot interface. • Facilitated direct communication between customers and store managers for clarification needs.

Senior Member Of Technical Staff at Oracle, Oct 2018 - Jan 2019 · 4 mos, Bengaluru Area, India, Lead developer and 𝐏𝐎𝐂 𝐨𝐰𝐧𝐞𝐫 for 𝐎𝐫𝐚𝐜𝐥𝐞 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐈𝐃𝐂𝐒), enabling 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐢𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 for enterprise clients. Drove 𝐏𝐨𝐂 𝐢𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞𝐬 in automation and 𝐢𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, later adopted into product roadmaps. Collaborated with global teams to ensure 𝐡𝐢𝐠𝐡 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 and 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 in identity solutions.

Member Of Technical Staff at Oracle, Jul 2016 - Oct 2018 · 2 yrs 4 mos, Bangalore, Designed and delivered the 𝐒𝐈𝐌 𝐩𝐚𝐭𝐜𝐡 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐨𝐨𝐥, reducing 𝐝𝐨𝐰𝐧𝐭𝐢𝐦𝐞 and streamlining 𝐩𝐚𝐭𝐜𝐡 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 across Oracle Cloud Infrastructure.

Education

Master of Engineering - ME, Computer Science & Engineering, Indian Institute of Science (IISc)

Bachelor of Engineering - BE, Computer Science & Engineering, Jadavpur University

Public links

github: https://github.com/ramithansda