Aniket Amrutkar
Engineering Leader @ Paytm | Building Scalable AI-Powered FinTech Platforms | Cloud, Distributed Systems & WealthTech Innovation
- Role
- Director of Engineering at Paytm
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Aniket Amrutkar
Engineering leader with 15 years of experience building and scaling distributed systems and AI-first platforms across Fintech, Insurance, Travel, and IoT. I specialize in leading high-performing teams, aligning technology with business strategy, and delivering measurable impact at scale.At Paytm Money, I head a 25+ member engineering team driving core initiatives in Mutual Funds, Equities, and Data Engineering. My work spans designing ultra-low-latency stock price broadcasts (serving 500K+ concurrent users), architecting AI agentic bots for natural language financial insights, and leading mission-critical projects like Disaster Recovery—achieving near-zero RPO and 15-minute RTO.Previously at Paytm Insurance, I built event-driven microservices powering motor, health, and life insurance products, integrated with Paytm’s ecosystem, and drove 10x revenue growth in two quarters. My earlier experience at Falkonry involved designing high-scale IoT data ingestion pipelines, ML-ready data processing, and cloud-native deployments handling billions of data points.I’m passionate about leveraging modern AI tools, cloud-native architectures, and data-driven decision-making to solve complex problems. With expertise spanning Java, Spring Boot, Node.js, AWS, microservices, and Kubernetes, I thrive on turning ambitious ideas into scalable, high-impact solutions.Always open to connecting with fellow technologists, product leaders, and innovators to collaborate on transformative projects.
Experience
Director of Engineering
Jul 2024 — Present · Mumbai, IN
Implemented an AI Agentic Bot, enabling users to interact via natural language queries across key features stock/mf screeners, portfolio insights, buy/sell recommendations, transactions, and SIP- This AI Bot was architected using multiple specialized agents each responsible for specific tasks—coordinated through a central orchestration layer. Utilized LLM models, the LangChain framework, and MCP Servers to build and orchestrate intelligent, context-aware conversational flows- Led the Disaster Recovery initiative across multiple tech teams, coordinating over 80 engineers, and successfully completed the project within three months. Achieved full compliance with Recovery Time Objective (RTO) and Recovery Point Objective (RPO) requirements, reducing RTO to just 15 minutes and RPO to zero- Using Elasticsearch, AWS kinesis, RESTful API implemented global search functionality across Equity Stocks, FnO, MF, Bonds and other financial products which gave results within 20ms for tps- Implemented reports modules for Profit and loss, Tax Calculation, Tax Harvesting, and Daily Statements using AWS Lambda, S3 buckets, SQS, etc which helped in sending more than pdf within 5 mins.
Education
Pethe Highschool
S.S.C.
1999 — 2003
K. K. Wagh , Nasik
Bachelor of Engineering (B.E.), Computer Science
2005 — 2009
H.P.T. Arts R.Y.K. Science College, Nasik
H.S.C., Science
2004 — 2005
Skills
- Spring
- Programming
- Sql
- Linux
- Hibernate
- Cassandra
- Hsqldb
- Spring Framework
- Mac Os
- Angularjjs
- Riak
- Html
- Node.js
- Mysql
- Servlets
- C++
- Ajax
- Web Services
- Javascript
- Junit
- Java
- Restful Architecture
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