M

Maahir Sharma

CEO

South Delhi, Delhi, India8 yrs 4 mos experience
Most Likely To Switch

Key Highlights

  • Integrated AI services enhancing user experience.
  • Led high-impact projects saving significant costs.
  • Developed scalable solutions for data management.
Stackforce AI infers this person is a SaaS and Fintech professional with strong software engineering and data engineering skills.

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Skills

Core Skills

Amazon Web Services (aws)JavaJavascriptGo (programming Language)DynamodbPython (programming Language)Data PipelinesSpring Boot

Other Skills

AWSAmazon DynamodbAmazon KinesisAmazon SQSApache AirflowBentoCloud StorageData EngineeringData Structures and AlgorithmsDockerEC2ECRECSFlaskHibernate

About

Technical Skills : Data Structures and Algorithms, JavaScript, C++/C/Java, Penetration Testing. Competitive Ratings : CodeChef(4 Stars), Codeforces(Specialist). ✔️ Sony - Hall of Thanks. ✔️ BigBasket - Hall of Fame . ✔️ PepperFry- Hall Of Fame. ✔️Worked as a Freelancer for 6 Months and had decent ratings and feedbacks from all his clients. ✔️Bug Bounty Hunter: HackerOne Profile - maahir2 ✔️Co-owned a Web CPU Mining website - mssoftwares.cf

Experience

Amazon

Software Engineer

May 2024Present · 1 yr 10 mos · Dublin, County Dublin, Ireland · On-site

  • ● Integrated an AI Service via an enterprise Slack Bot, providing users with an option to change chat-modes, adding support for streaming responses, multi-file uploads as well as intent detection for thread summarisation related questions.
  • ● Implemented a distributed caching solution for content based authorisation, and designed a pre-warming logic for a enterprise AI Assistant, reducing Time To First Byte by over 33%.
  • ● Ideated and implemented an authorisation middleware for concurrent status refresh from multiple authorisation providers for the AI Service, added support for an embedded rule-engine for multi-provider rule-evaluation.
  • ● Responsible for increasing the observability for 3P-Bots, implemented a flow to directly export logs generated by Bot Clients to their S3 Buckets using FluentBit, Log4J Routing, CloudWatch and Data Firehose.
  • ● Set up end-to-end monitoring for the AI Service this involved CloudWatch Alarms, auto-scaling policies on Traffic Intensity. As part of the pre-launch readiness, conducted several stress & load tests with K6, InfluxDB & Grafana for real-time visualisations.
Software InfrastructureJavaAmazon Web Services (AWS)Amazon KinesisAmazon DynamodbData Engineering+1

Zomato

Software Engineer

Jan 2023May 2024 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

  • ● Developed the complete Access Control Platform(Gatekeeper) in Go and ReactJS that enables employees to request access to various assets (e.g., Redash, Airflow, Superset). Implemented a multi-level tenant-wise approver assignment logic along with an JWT & Session-based (Authentication, Authorisation) & a notification module. Also, built a PagerDuty-like worker responsible for notifying approvers about assigned requests & escalating them upon SLA breaches. Leveraged DynamoDB, SQS for scalablility & low-latency performance.
  • ● Led several high priority projects, including optimising inter-region MySQL DB exports & DynamoDB Incremental Sync, this involved building a new ETL Type & setting up infrastructure components like SQS, SNS, Event Bridge rules in other accounts to make the pipeline highly resilient & scalable, also implemented the step for performing transformations on PII Data, de-duplication & merging using a Spark Job which also registers these tables in Hive, the tables in Hive are then available for analytical queries via Presto/Trino and can be visualised on Redash. Overall, both these projects resulted in a net-infra saving of ~14,000 USD/month.
  • ● Developed a new version for an SDK in Go that was used by various services(upto 30,000+ events/second) to send events to Kafka, implemented batching from scratch using Worker-Buffer pattern, and migrated event payloads from JSON to Proto, also added support for ZSTD-based compression of events (post extensive benchmarking) that lead to Kafka storage cost reduction and efficient CPU utilization. Ideated & developed the foundation of a Central Schema Registry Service responsible for serving Protobuf schemas on runtime in sub-millisecond latency using DynamoDB, S3 & L2 Caching system.
JavaScriptFlaskApache AirflowRedashJavaGo (Programming Language)+2

Meta

Data Engineer

Jul 2022Oct 2022 · 3 mos · London, England, United Kingdom

  • ● Built multiple pipelines that create the foundational datasets(Fact & Aggregated) to establish relationships amongst the usage of various features & sub-features of AR Hub. This required manual categorization of more than 60 unique routes into features & sub-features.
  • ● Architectured a scalable solution to store the mapping table in a SITEVAR due to robust support on internal frameworks, and extremely quick READ & UPDATE operations due to caching. Implemented Data Quality Checks in the pipeline with calibrated anamoly sensitivity to automatically notify the ON-Call Teams by creating & submitting a P1 task.
  • ● Built extremely visual Uni-Dash dashboards that have usage, co-relation & miscellaneous metrics about features & sub-features of AR Hub. Incorporated feedback from cross-functional teams throughout the designing & execution stages. These dashboards are now driving product decisions around Keep The Light Off projects & also supporting the Unified Content Management team to decide on the inclusion of certain features.
  • ● Created top-line metrics using M360 Authoring API in Bento Notebooks, these are key decision-driving metrics that are present in the ultimate source of truth for the team. M360 Authoring API is an internal interface that deals with the creation of metrics, metric slices, and derived metrics.
  • ● Tech Stacks: Python, Data Pipelines, Unidash, Daiquery, SQL, Presto, Bento, M360, SITEVARS, Chronos.
HivePrestoBentoCloud StorageApache AirflowRedash+4

Bharatpe

Software Engineer Intern

Sep 2021Apr 2022 · 7 mos · New Delhi, Delhi, India

  • ● Implemented an anti-fraud checking mechanism on transactions and helped reduce the overall fraud rate in payments using Name Matching and Account Validation.
  • ● Created a new service that updates previous entries in the database by fetching updated data from the latest version of API. Used a multi-threading strategy to reduce the overall time of fetch queries, followed best code practices and design patterns for Data Transfer Objects, DAO Layers, and Controllers.
  • ● Created a REST API using Java and Java Spring Boot that allows CRM to process refunds for transactions, used ORM - Hibernate to map the object schema to database schema, and followed the standard design pattern.
  • ● Currently working closely with the Payments Team on refining Payment Gateway Integration and improving the API Response time using Java Spring Boot and MySQL.
  • ● Tech Stacks: JPA ORM, Spring, Spring Boot, Java, REST APIs, SQL, Microservices, Redis, Kafka, Redash.
JPA ORMSpringSpring BootJavaREST APIsSQL+4

Netmeds.com

Software Engineer Intern

Aug 2021Sep 2021 · 1 mo

  • ● Developed a REST API using Java and Java Spring Boot that allows users to perform Create, Read, Update and Delete Operations on a course library in the training period, used ORM - Hibernate to map the object schema to database schema.
  • ● Integrated a Continous Integration and Deployment Pipeline in BitBucket. This included deploying SonarQube on an EC2 Instance, creating Docker images and pushing them to Elastic Container Registry, and then setting up the Elastic Container Services to automatically deploy the whole application on the cloud.
  • ● Configured AWS RDS that allows the backend services to communicate with the cloud-native databases.
  • ● Tech Stacks: Hibernate, Spring, Spring Boot, Java, REST APIs, AWS, Docker, EC2, ECS, RDS, and ECR.
HibernateSpringSpring BootJavaREST APIsAWS+5

Entrepreneurship cell, nit raipur

Campus Ambassador

Jul 2019Dec 2019 · 5 mos

  • This included responsibilities varying from Digital Marketing and Optimisation in Marketing Strategy.

Ms softwares

CEO

Feb 2016Jun 2020 · 4 yrs 4 mos · India

Education

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

Gyan Bharati School,Saket

Jan 2014Jan 2019

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