Headline

ISB Co’27 | Ex-Engineering Associate at Goldman Sachs

About

Formerly an Associate at Goldman Sachs (Listed Derivatives Clearing, Global Banking & Markets), where I spent 3+ years building financial systems at global scale, from architecture to adoption. I led teams, defined migration strategy for critical trading infrastructure, and found myself consistently most energised at the intersection of technical complexity and business impact. That instinct for finding the right problem and owning it end to end is what draws me to product. I'm currently at ISB, building the frameworks to make that transition intentional. Outside of work, I've always built things. I founded Kudough, a New York-style cookie brand I ran solo from recipe to P&L. I write at anishaghosh.com, where I reflect on growth and the messy process of figuring things out. I also create content on Instagram at instagram.com/figuringitoutwanisha and YouTube at youtube.com/@figuringitoutwanisha, where I document my life, the less polished and more honest parts of navigating growth and everything in between. I'm also deeply passionate about health and fitness, especially preventive healthcare. I genuinely believe that the right nutrition and lifestyle choices can transform the quality of your life, and I'm always experimenting, learning, and trying everything under the sun in that space. And I've spent more time than I'd like to admit thinking about why the best products feel obvious in hindsight. Always happy to connect over products, systems, or building things, digital or otherwise, that make people's lives a little simpler and a lot more interesting.

Location

Bengaluru

AI stack

claude code

codex

lovable

Work experience

Founder at Kudough, Dec 2023 - Dec 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, Kudough was a passion-driven dessert brand reimagining cookies as indulgent, shareable desserts rather than everyday snacks. As Founder, I led the end-to-end creation and scaling of the business — from concept and product development to marketing, operations, and profitability. I launched and managed solo operations including recipe experimentation, production, packaging, marketing, and sales, achieving ₹38K in revenue from 250+ units within months. I built the brand’s online and community presence, cultivated a loyal local customer base, and established 40% profit margins through strategic pricing and cost optimization. I started Kudough simply because baking has always been a passion — and I wanted to understand what it truly takes to run a business from the ground up. It taught me how to balance creativity with structure, make decisions under uncertainty, and build something people genuinely enjoy. https://www.instagram.com/kudough.in/

Engineering Associate at Goldman Sachs, Jul 2023 - Mar 2026 · 2 y 8 mo, Bengaluru, Karnataka, India, Technical product & project lead; Post-trade subject matter expert driving global digital transformation & client impact across AI, data, automation & core platforms Key Achievements ● Earned early promotion from Analyst to Associate in 2 yrs (vs 3 yrs) after ranking 1/30+ among global analysts & associates & top 5/80+ globally (incl. VPs) ● Winner, GS Global Hackathon 2025 (1/500+): Projected ~90% faster trade-reconciliation investigation; Led 5 to build AI-native root cause analysis (RCA) engine ● Finalist, GS Global Hackathon 2024 (5/500+): Projected ~80% reduction in release coordination effort & related incidents; Led 4 to build 1-click release workflow ● Division Winner, GS Analyst Impact Fund (1/15+): Developed $250K global expansion strategy for non-profit Learning Equality to reach 10K+ at-risk students Reconsense: 0-to-1 AI investigation product for post-trade reconciliation breaks achieving same-day trade-book closure to reduce firm risk - Secured funding by pitching to tech & ops leadership; Proved CME pilot (largest global F&O market) achieved RCA time reduction by 99% (3 days to 30 min) - Saved 20+ ops-hrs/wk via self-service workspace to review 200+/day AI RCAs, query raw data using natural language & resolve breaks without tech support - Achieved 90% accuracy via 7+ single-task agents to trace 6M+ trades across 5 apps & ground LLM response in past cases; Designed data-access controls & 2 evals - Gained user trust by interviewing 20+ ops users to identify & prioritize pilot requirements & build a human-in-the-loop solution with review & feedback Jaadu: 0-to-1 post-trade workflow & observability platform for ops, engineering & support | Co-led with a VP as team’s youngest member ● QA Testing & Release Automation: Saved 42+ engineering-hrs/wk by building a self-service automation product adopted by 2 teams across 7 applications - Defined 3 personas by interviewing 20+ users globally; Designed product strategy by authoring PRD with prioritized requirements, workflows & wireframes - Reduced QA effort by 75% (6 to 1.5 hrs/wk) for 3M trades/run via self-service self-healing API automating env setup, data reflow & regression reporting - Minimized coordination risk by decoupling 3+ releases/wk & reducing release effort by 85% (4 hrs to ~30 min/wk) via 1-click automation & data contracts ● Production Observability: Cut live-issue data lookup TAT by 91% (45 to <4 min) by unifying cross-system view of 80+ markets, serving 5K+ queries/day - Designed & scoped roadmap by instituting weekly engineering-ops team debriefs to identify recurring incidents, duplicate investigations & ownership gaps - Designed Elasticsearch RAG solution & data-pipeline, comparing it with PostgreSQL & Pinecone on performance, lexical search, cost & implementation effort - Reduced developer dependency & ticket rerouting by building a dashboard UI for flexible trade-ID lookup, stalled trades & gap visualization & 1-click escalation MSA Platform: Core clearing broker platform for matching, shaping & allocating derivatives, serving operations & external clients globally ● Global Regulatory Exposure: Averted multi-$M loss from CFTC (regulatory body) exposure by leading 2 trade-enrichment programs spanning 80+ global markets - Defined data-strategy by identifying highest-risk gaps in fee calculation by analyzing 500M+ trades to trace lifecycle & group errors by system, data & process - Achieved 100% change traceability & cut fee calculation errors from 40% to 5% via audit trails, operational data controls, edit rules & exception handling - Launched globally 3 months early with zero incidents by leading a 4-member team & aligning 5 stakeholder groups (Tech, Sales/Business, Ops, Risk & Trading) ● Platform Modernization: Retired 25 yr-old core system via zero-downtime migration of world’s largest hedge fund (3M+ trades/day), preserving 98% automation - Accelerated matching 6x (3 min to 30 sec) by analyzing 100M+ trades across 40+ attributes to develop new algorithm using low-latency sequencer architecture - Saved 7+ SDE-hrs/rollout by productizing business onboarding & shifting execution to support team via reusable configs reducing app setup (5 to 2) & rollout guide - Unblocked 2-wk delay in business sign-off by translating tech constraints into quantified client risks & validating the recovery plan via live simulation with ops Crisis Management ● Restored EOD client reporting & averted SLA breach by recovering 20K+ NSE trades with <1.5% exceptions after change in NSE’s unique ID caused data loss - Prevented global live-trading disruption by pioneering targeted UAT-to-prod recovery securing senior leadership buy-in; Led P0 incident recovery & response ● Prevented revenue & data loss of 20M+ global trades during US tariff-driven surge causing database (DB) utilization nearing 90% due to DB purge processes - Decreased DB purge time by 90% (2 hrs to 12 min) & lifted throughput by 50% by redesigning & optimizing SQL queries, adding safe restart & rollback controls Firm Building Initiatives & People Management ● Ensured 100% on-time delivery during 1-month leadership gap; Stepped in as acting manager for 12 engineers, owning task allocation, reviews & triage ● Accelerated new-hire onboarding by 30% by creating 8+ training modules; Mentored 2 interns & managed their projects end-to-end (both earned PPOs) ● Upskilled 80+ engineers globally by establishing a firm-aligned L&D forum, delivering 50+ cross-team sessions on functional flows, AI agents & technology

Spring Analyst Intern at Goldman Sachs, Jan 2023 - Jun 2023 · 6 mos, Bengaluru, Karnataka, India, - Full-stack developer in listed clearing team under the Global Banking & Markets division - Designed, built, and shipped an email parsing service with real-time monitoring and a configuration dashboard using Java, Kafka, React, Redux, Node.js, and TypeScript. - This replaced a legacy system and reduced operational effort by 2 hours/day, cut client onboarding time from 2 weeks to 1 day, and saved $2,000/month in third-party service costs.

AI/ML Intern at Datence Technologies, Aug 2022 - Dec 2022 · 5 mos, - Developed the main product platform, ensuring a seamless user experience and functionality. - Created a chatbot and risk analysis system to help legal professionals bring their ideas to market. - Implemented features like document contextualization and privacy policy generation based on legal compliance, alongside a legal assistant tool to reduce firms' reliance on costly legal teams.

Teaching Assistant at PES University, May 2022 - Feb 2023 · 10 mos, Bengaluru, Karnataka, India, Teaching Assistant Under Prof. Srinivas Katharguppe for the courses: - Advanced Big Data Analytics for Mtech - Big Data for Btech - Data Analytics Btech Designed projects and assignments for the subjects, defined initial coursework, and created the complete course plan for the MTech in Big Data Analytics, significantly contributing to curriculum development in my final year.

Research Intern at Center for Cloud Computing and Big Data, PES University, Jun 2021 - Jun 2023 · 2 yrs 1 mo, - Developed a Remote Proctoring System Using Audio, Video and System Scenario Analysis. - Presented at the IEEE CCEM 2022 and won the Best Full Research Paper Award

Education

Master of Business Administration, Information Technology & Marketing, Indian School of Business

Bachelor's degree of Technolology, Computer Science Engineering, PES University