Mohak C.

Software Engineer

South Delhi, Delhi, India4 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led high-scale reconciliation systems at Amazon.
Developed AI-driven solutions improving efficiency.
Mentored interns and drove operational excellence.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Fintech solutions.

Contact

Skills

Core Skills

Data EngineeringBig DataSoftware DesignArtificial Intelligence (ai)Back-end Web Development

Other Skills

API contractsAWS SecurityAWS bedrockAirflowCI/CDCandidate Search serviceContinuous Integration and Continuous Delivery (CI/CD)DFS-based sorting algorithmData ScienceDatabase Management System (DBMS)EMRGRC complianceGraphQLKubernetesLarge-scale Data Analysis

About

Software Engineer at Amazon with expertise in Big Data, AI, and Cloud Solutions. Developed high-scale reconciliation and AI-driven systems, improving accuracy and efficiency. Led data lake re-architecture for better performance, mentored interns, and delivered innovative solutions. Passionate about solving complex problems with cutting-edge technology.

Experience

Amazon

4 roles

Software Development Engineer 2

Promoted

Oct 2024 – Present · 1 yr 5 mos

Architected and Developed a DFS-based sorting algorithm and self-healing reconciliation for employee data backfills (processing 5MM+ employees), ensuring grouped hierarchy updates and zero data loss within 10min SLA, which eliminated loss of access issues during any Amazon re-orgs.
Worked on RDS performance optimizations bringing down query performance times from 20mins to under 30s (used vertical partitioning of tables, creating new indexes and deprecating irrelevant indexes), impacting 200+ downstream ETL pipelines and increasing data freshness from 4 hours to 30 mins SLA. -
Worked with Principal Engineers and PMs and Led design and API contracts for new Candidate Search service for Amazon (post-legacy system deprecation for hiring
dashboard migration) and re-architecture of high-volume Search Populations API (response time from 5s to under 200ms P99) to remove the N+1 queries bottleneck,
enabling Q1 2026 launched for the enhanced Amazon jobs search experience.
Designed (HLD & LLD) and Developed the backend of Amazon Financial data management tool for collections use-cases with 100% reconciliation coverage.
Served as Operational Excellence (OE) Champion, analyzing 6 months of ticket data (75 SEV2s/473 SEV3s) to prioritize 20+ backlog items (alarm tweaks, retries,
performance tuning), reducing SEV2s from 21 to 3, latency breaches from 26 to 1, and SAS risks from 104 to 6 (per month) while leading security reviews,
dashboards, and retrospectives.
After a large-scale outage, led operational readiness reviews (ORR) for reconciliation tool (100B records/day, SOX/GRC compliant), and ingestion service as sole SDE, automating job scheduling, unifying CDK pipelines (infra as code), implementing DAG based alarms and retries in Airflow, optimizing, and building customer dashboards/runbooks to complete GRC compliance and eliminate operational gaps.

DFS-based sorting algorithmself-healing reconciliationRDS performance optimizationsCandidate Search serviceAPI contractsfinancial data management tool+5

Software Development Engineer

Dec 2022 – Oct 2024 · 1 yr 10 mos

Designed and Built large language model based question answer chatbot for Amazon Internal customers. Built Retrieval Augmented Generation (RAG) pipelines using opensearch vector knowledge bases using state of the art embedding models on AWS bedrock. Customised claude LLM model as the base model, with advanced prompting techniques to optimise the token size for efficient and accurate answer generation! Got ‘think big’ award for this project. See my AWS blog post for the same here: https://aws.amazon.com/blogs/machine-learning/how-amazon-finance-automation-built-a-generative-ai-qa-chat-assistant-using-amazon-bedrock/

large language modelRetrieval Augmented Generation (RAG)opensearch vector knowledge basesembedding modelsAWS bedrockclaude LLM model+3

Data Engineer

Promoted

Aug 2021 – Dec 2022 · 1 yr 4 mos

Built a high scale distributed financial data reconciliation system which allows data reconciliation across multiple datasources (both sql and no sql) across multiple AWS accounts using EMR. This solution reconciles 1 billion records daily for our petabyte financial datalake

financial data reconciliation systemEMRdata reconciliationSQLNoSQLData Engineering+1

Data Engineer

Feb 2021 – Aug 2021 · 6 mos

Developed headcount capacity prediction model’s data pipeline for an MLOps usecase, where designed and developed data pipelines using redshift, EMR and orchestration using Airflow to efficiently prepare and massage datasets for ML prediction model ingestion

data pipelineMLOpsAirflowRedshiftEMRData Engineering

Omnipresent robot tech

Full Stack + Devops Intern

May 2020 – Aug 2020 · 3 mos · New Delhi, Delhi, India

I worked as a full-stack web developer where I built multiple projects from scratch which were directly used in production for companies like Aditiya Birla Group (Hindalco Project), Webel Project (Government) etc. I created Dashboards with role-based access systems, integrated analytics, Livestream using Surveillance Drones and CCTV cameras, File upload, Sms and Email Services for notification system, Messaging features etc.

full-stack web developmentrole-based access systemsanalytics integrationnotification systemBack-End Web Development

Incampus ltd

Backend Engineering Intern

Mar 2020 – Jul 2020 · 4 mos · New Delhi, Delhi, India

I worked as a NodeJS backend Developer for the Startup INCAMPUS where I helped to build the Incampus app's Backend, and Deploy it at least cost with Maximum Scalability using Kubernetes, docker images and implemented CI/CD using Jenkins

NodeJS backend developmentKubernetesdocker imagesCI/CDBack-End Web Development

Chief minister office, government of nct of delhi

Node JS backend Intern

Jun 2019 – Aug 2019 · 2 mos · RCS office · On-site

I worked on the backend for the mohalla sabha project under the guidance of the advisor to the CM of NCT of Delhi, Dr. Gopal Mohan, where I developed various backend services like SMS and email notification API, authentication and authorisation modules, GraphQL backend layer for data storage and retrieval. These services were used for internal tooling and development of various management systems, allowing efficient management of government services and process.

backend servicesGraphQLauthentication and authorization modulesBack-End Web Development

Croma campus pvt. ltd.

Trainee

Jan 2019 – Jun 2019 · 5 mos

MEAN STACK web development training!

Biorev, llc - 3d rendering studio | hr consulting | 3d animation

Web Development Intern

Dec 2018 – Jan 2019 · 1 mo · Greater Delhi Area

Web Development Intern at Biorev LLC

Futerox interactive

Web Development Intern

Jun 2018 – Jul 2018 · 1 mo · Greater Delhi Area

I worked as a MEAN Stack Intern at Futerox Interactive for 6 weeks where I worked on Landing Pages, Responsive Design, UI / UX of many smaller projects like Dashboards, etc, And a Trip Planner MEAN app.