--- title: "Ankit Anand - Software Engineer 3 in Bengaluru | Tal" description: "Meet Ankit Anand, Engineering at AngelOne | Ex-MoEngage based in Bengaluru. AI stack includes cursor and opencode." image: "https://tal.club/meet/ankit-anand-2/share-image" --- # Ankit Anand on Tal ## Headline Engineering at AngelOne \| Ex\-MoEngage ## About Senior backend and distributed systems engineer with 8\+ years building infrastructure at scale: 150M\+ users, 40B\+ daily events, 100k\+ peak QPS at P99 <20ms\. Most recent work: re\-architected a financial trading platform's core margin systems \(AngelOne\) from batch to event\-driven, cutting processing time from 24 hours to under 2 seconds and unlocking a Rs\.500 Cr\+ revenue stream\. Owned system design end\-to\-end — HLD/LLD, API contracts, cross\-team rollout across 4 engineering groups\. Before that, built and led the ML infrastructure powering MoEngage's recommendation and prediction products: an inference engine serving 50k requests/sec across 100\+ enterprise clients, and the Spark/EMR pipelines processing 40B\+ events for 150M\+ users\. Led a 5\-engineer team through roadmap, sprint planning, and OKRs; cut infra spend 30% \(\~$150k/year\) via autoscaling and Graviton migration\. Core stack: Go, Python, Java, Kafka, Spark, Kubernetes, PostgreSQL, Redis, AWS \(EMR, Glue, Lambda, Step Functions\), Azure, Airflow, Terraform\. Domain depth: event\-driven architecture, microservices, stream/batch data pipelines, ML/recommendation systems, LLM context engineering and RAG, performance engineering at scale\. B\.Tech Computer Science, PES University \(CGPA 9\.4/10\)\. Published research in ML/cloud computing \(IEEE T4E, IEEE CCEM, Procedia Computer Science\)\. Open to Staff Engineer / Tech Lead roles building distributed systems, data platforms, or AI infrastructure at scale\. ## Location Bengaluru ## AI stack cursor opencode ## Work experience Software Engineer 3 at Angel One, Dec 2024 \- Present · 1 yr 9 mos, Bengaluru, Karnataka, India, Leading backend engineering on financial infrastructure — Margin Trading Facility \(MTF\), Margin Pledge, EDIS, and post\-trade systems\. \- Re\-architected Loan Against Shares and Mutual Fund Pledge limits from nightly batch to near\-real\-time event\-driven systems, cutting user wait time from 24 hours to 2 seconds and unlocking a Rs\.500 Cr\+ revenue stream\. \- Cut container memory 60% and CPU 45% on high\-throughput Go microservices via custom connection pooling, sustaining 100k\+ peak API requests at P99 <20ms during market hours\. \- Architected the MTF Shortage Modernization pipeline across 4 cross\-functional teams \(Product, RMS, PTRMS, SRE\), decoupling real\-time trading from legacy back\-office systems and securing SLA compliance on a Rs\.4,000 Cr\+ loan book\. \- Built end\-to\-end CI/CD for AWS Glue, Lambda, and Step Functions, enabling one\-click disaster recovery failover across regions\. \- Cut MTTR 40% and non\-peak alert noise 70% by redesigning incident response, monitoring dashboards, and runbooks\. \- Owned end\-to\-end delivery of the Price Craft Engine for Plan Management; authored HLD/LLD and API contracts that became the cross\-team design standard at AngelOne\. Stack: Go, AWS \(Glue, Lambda, Step Functions\), PostgreSQL, event\-driven architecture\. Lead Software Engineer at MoEngage, Mar 2021 \- Nov 2024 · 3 yrs 9 mos, Bengaluru, Karnataka, India, Led the Data Science engineering team building ML infrastructure and recommendation systems for MoEngage's enterprise marketing platform\. \- Built and shipped an AI recommendation engine on AWS serving 50k inferences/sec \(real\-time \+ batch\) for 100\+ enterprise clients, lifting campaign CTR/CVR 4% platform\-wide\. \- Led a 5\-engineer team — owned roadmap, sprint planning, and OKRs with Product/EM; mentored 2 engineers to mid\-level promotion within 18 months\. \- Scaled Spark/EMR pipelines to process 40B\+ events across 150M\+ users through query tuning and cluster optimization, cutting customer onboarding time 25%\. \- Reduced infra spend 30% \(\~$150k/year\) via AWS autoscaling tuning, Graviton migration, and a rule engine that right\-sized infra per customer\. \- Made all microservices cloud\-agnostic, refactoring Spark workloads from EMR to Kubernetes to enable Azure market entry\. \- Shipped MoEngage Predictions \(Best Time to Send, Preferred Channel, Predictive Segments\) end\-to\-end — adopted by 60%\+ of enterprise clients\. \- Architected the AutoReports feature, automating 1M\+ daily scheduled dashboard\-chart emails to customers and reducing manual analytics overhead to zero\. Stack: Python, Spark, EMR, Kubernetes, Airflow, AWS, Azure, Kafka\. Software Engineer at Instamojo, Jul 2019 \- Feb 2021 · 1 yr 8 mos, Greater Bengaluru Area, \- Designed a reconciliation microservice and Kafka\-based ingestion pipeline processing 10M\+ daily transactions, improving GMV calculation accuracy from 80% to 99%\. \- Cut payment failure rates 15% by resolving reliability bottlenecks in the core payments stack\. \- Built a gateway transaction parsing engine from scratch — settlement file parsing, transfer service, system\-level alerting — enabling automated financial reconciliation at scale\. Stack: AWS, Kafka, Python, payments infrastructure\. Software Development Intern at Instamojo, Jan 2019 \- Jul 2019 · 7 mos, Bangalore Machine Learning / AI Intern at Aiaioo Labs, Jun 2018 \- Jun 2018 · 1 mo, Bengaluru, Karnataka, India, \- Built a Named Entity Recognition model on the CoNLL\-2003 benchmark dataset for core NLP tasks\. Stack: NLP, Machine Learning, Named Entity Recognition\. Research Intern at Center for Cloud Computing and Big Data, PES University, Sep 2017 \- Nov 2018 · 1 yr 3 mos, PES University, Bengaluru, \- Built a novel mispronunciation classifier for spoken\-language assessment — analyzed pronunciation quality and localized errors to specific phonetic segments using speech recognition and deep learning\. \- Work led to 2 published research papers and an IEEE Best Innovative Project Award \(Proof of Concept\)\. Stack: Speech Recognition, Deep Learning, Machine Learning\. ## Education Bachelor’s Degree, Computer Science, PES University [View the original profile](https://tal.club/meet/ankit-anand-2) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/ankit-anand-2#person", "name": "Ankit Anand", "url": "https://tal.club/meet/ankit-anand-2", "image": "https://tal.club/meet/ankit-anand-2/profile-photo.jpg", "description": "Meet Ankit Anand, Engineering at AngelOne | Ex-MoEngage based in Bengaluru. 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