Laveen Chandwani

Software Engineer

Pune, Maharashtra, India3 yrs 11 mos experience

Key Highlights

Expert in building secure and scalable backend systems.
Proven track record in optimizing payment gateways.
Strong foundation in machine learning and data analysis.

Stackforce AI infers this person is a Backend Developer with expertise in Fintech and E-commerce solutions.

Contact

Skills

Core Skills

Software DevelopmentAd OptimizationBackend DevelopmentSecurityPayment SystemsMachine Learning

Other Skills

AWSAmazon DynamodbAmazon S3Amazon Web Services (AWS)Analytical SkillsAngularJSArduinoBluetoothBootstrapC (Programming Language)Capital MarketsCascading Style Sheets (CSS)CircuitCommunicationCompetitive Programming

About

Currently working as a Software Development Engineer at Swiggy in Ads team, where I contribute to building robust and scalable solutions to enhance the food delivery experience. Previously, I was a Microservices backend developer at Bajaj Technology Services(BFDL) with 2.5 years of experience in creating and improving backend services, especially in the areas of authentication, payments, and system integrations. I’ve led key projects that improved security and efficiency, including token management systems and payment gateways. I’m passionate about solving complex problems and always eager to learn and adapt to new technologies. I enjoy collaborating with teams to build reliable, scalable, and secure systems that make a real difference. Outside of work, I like to play badminton, read books, and listen to podcasts.

Experience

3 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 6 mos

Current Experience

Swiggy

Software Development Engineer

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · Remote

Working in the Ads & RNG (Revenue & Growth) team at Swiggy Instamart, driving ad optimization and revenue growth for the Brands Portal.
Drove several high-impact projects that collectively strengthened Instamart Ads revenue performance on the Brands Portal.

ad optimizationrevenue growthsoftware developmentSoftware DevelopmentAd Optimization

Bajaj technology services

2 roles

Software Engineer- 2

Promoted

Apr 2023 – Dec 2024 · 1 yr 8 mos · Pune, Maharashtra, India

Token Management Service: Built a secure token service with Spring Boot, Redis, AWS, and HS256 JWT, improving security and user experience across web and mobile platforms.
CRM Service Optimization: Implemented a dynamic feature using reflection for PostgreSQL data access, improving performance and efficiency with a universal JSON response.
Verifications Module: Led end-to-end design and integration of the Verifications module, including LLD, database architecture, and UI components, streamlining client onboarding.
Additional Contributions: Developed CashFlow Assessment and OPS view features, and implemented a PDF utility with FreeMarker.

Spring BootRedisAWSPostgreSQLJSONBackend Development+1

Software Engineer

Jul 2022 – Apr 2023 · 9 mos · Pune, Maharashtra, India

Collaborated with cross-functional teams to develop and maintain services related to Authentication and Payments, improving functionality and security by adding new features, resolving bugs, and addressing vulnerabilities.
Direct Debit Payment Gateway : Created a secure payment gateway with encryption (SecretKey, IV, X509Certificate) for client, ensuring data protection and compliance.
Integrated CRIF multi-bureau and Video KYC APIs for enhanced KYC functionality, improved AddressMatcher accuracy with the Levenshtein algorithm

encryptionKYC APIsLevenshtein algorithmPayment SystemsSecurity

Bennett university

Machine Learning Intern

Jun 2020 – Jul 2020 · 1 mo · Virtual

Our Team designed the ML based Project i.e "Armed , Injured & other Suspicious Activity Recognition using Drone Surveillance" to detect violence and classify them into categories like Accident, Robbery, Fighting, etc. with an accuracy of 98%(training) & 84%(validation) obtained from SlowFast Model compared to other models like 3DCNN, 2DCNN+LSTM, etc.
The dataset used was taken from Kaggle website

Machine LearningDrone Surveillance