Dolly Vaishnav

Senior Software Engineer

Bengaluru, Karnataka, India7 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Increased data ingestion throughput by 5x.
Designed scalable Digital KYC solutions.
Expert in cloud-native application architecture.

Stackforce AI infers this person is a Backend-heavy SaaS engineer with strong expertise in cloud architectures.

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Skills

Core Skills

JavaSpring BootCloud PlatformsPythonNlp

Other Skills

AWSAmazon DynamodbAmazon SQSAmazon Web Services (AWS)AzureAzure Cosmos DBAzure Key VaultAzure Kubernetes Service (AKS)Back-End Web DevelopmentC++Deep LearningDesign PatternsEclipseFlaskGit

About

Software Engineer with expertise in designing and developing scalable, high-performance systems and optimizing cloud-based architectures. Skilled in building microservices, real-time data pipelines, and distributed systems with a focus on efficiency, reliability, and cloud cost optimization. Proficient in Problem solving(DSA), Java, Spring Boot, Kafka, kafka streams, LLD, HLD and cloud platforms (AWS, Azure) with hands-on experience in architecting, deploying, and maintaining cloud-native applications.

Experience

Appdynamics

Software Engineer III

Feb 2023 – Present · 3 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

Improved the ingestion pipeline’s scalability, increasing throughput from 40K spans/min to nearly 200K spans/min, enabling the system to handle 5x higher traffic volumes while maintaining performance and reliability.
Led a team of 2 engineers to redesign the dynamic snapshot calculation architecture to support customer‑driven BT configuration threshold changes, integrating Spring Batch Poller and Snapshot Reporter with Redis and Kafka, and transitioning it from stateful to stateless by centralizing state in Redis/Kafka, eliminating legacy routing/config services and simplifying the architecture.
Optimized snapshot processing with hierarchical caching and real‑time invalidation using redis pub‑sub, improving consistency across services and reducing calculation latency by 30%.
Reduced config propagation delays by 20‑25% by developing the end‑to‑end flow for fetching and refreshing customer app configs from AppDynamics Controller into OTIS, enabling dynamic config management, eliminating the risk of customers sending data to deleted apps/BTs, and reducing cache footprint through timely invalidations across services.
Led a team of 3 engineers to transition the Open Telemetry Ingestion Service from AWS‑specific infrastructure to a cloud‑agnostic architecture, enhancing flexibility and lowering costs by 15–20%
Extended key AWS components to support Azure, improving cross‑cloud compatibility and ensuring seamless data accessibility across platforms.
Optimized real‑time data ingestion by replacing a managed AWS streaming service with Kafka Streams, improving efficiency and reducing

amazon api gatewayHigh-Level DesignLow-Level DesignDesign PatternsAzure Kubernetes Service (AKS)Kafka Streams+13

Ola

Software Developer

Jun 2021 – Dec 2022 · 1 yr 6 mos · India

I have been working in the Onboarding team of OlaMoney where I designed and built a Digital KYC solution along with KYC verifications.
Improved the wallet KYC funnel from 2% to 30% which generated 1 lakh KYCs per month during peak time. The same architecture is being used in the onboarding journey of Ola electric as well and other products such as postpaid plus, wallet-card, credit-card etc. Currently, there is a throughput of 14k request per minute.
Implemented a 4-click flow for Postpaid Plus. Users can complete their Postpaid Plus journey in less number of steps. The overall throughput has increased from 0.42% to 0.99% for non-postpaid plus users and 5.33% to 7.50% for postpaid plus users.
Developed a feature to upload CKYC data of the customers to the CKYC portal through third-party API integration(Trackwizz). This was one of the biggest features where I took end to end ownership from designing document to development of the feature.

Amazon Web Services (AWS)SQLRedisProblem SolvingJUnitSpring Boot+4

Dapplogix software pvt ltd

2 roles

Software Engineer(ML)

Apr 2019 – Jun 2021 · 2 yrs 2 mos

Implemented Business Parser for companies to parse resumes and extract named entities using NLP and Deep Learning model, integrated several APIs for extracting links containing resumes.
Created a Scorer model to score candidates based on the requirement this helps companies to select the best candidate for a specific role.
Created a portal for judging and scoring system design interviews of candidates using Text-Similarity algorithms which helps companies to score system design interviews using software without human interference.

Python (Programming Language)FlaskNatural Language Processing (NLP)Python

Software Engineer(ML intern)

Oct 2018 – Mar 2019 · 5 mos

Created an AI-based Resume Parser that helps to extract pieces of information from the resume and parse them such as name, degree, education, tech skills, and work experience.
Used Spacy and NLP and achieved the maximum of 85%, integrated the web app from the front end using flask API

Iiit hyderabad

Intern

Jun 2017 – Jul 2017 · 1 mo

Worked on Augmented Reality, created a Virtual Tour App.
This app will fetch the history of a particular location via scanning the monument of that location.