Tavish Jain

Software Engineer

Delhi, India4 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected core backend services generating $250M revenue.
Achieved 99.9% accuracy in financial reporting.
Designed scalable systems processing 90 million records monthly.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS and Fintech sectors.

Contact

jaintavish@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootMachine LearningPython

Other Skills

MicroservicesREST APIsPostgreSQLDistributed SystemsAsynchronous ProcessingJavaScriptDeep LearningTensorFlowKerasAlgorithmsC++Computer EngineeringComputer ScienceBack-End Web DevelopmentFront-End Development

About

As a skilled and experienced software engineer with nearly 5 years in the field, my core passion lies in building high-quality, scalable, and robust backend systems. I thrive on the challenges of designing efficient solutions for complex problems within large-scale enterprise environments, primarily leveraging Java and Spring Boot. Seeing well-architected code handle significant volume and maintain reliability is what truly motivates me. Currently working as a Software Engineer at Salesforce, within the Billing domain, my focus on quality and scalability has been central to my professional journey. I've applied these principles to engineer features impacting core billing functionalities, and ensuring systems can manage substantial load. My strong technical abilities, coupled with my excellent team working skills and effective communication skills, have enabled me to make significant contributions to the success of the company My technical foundation includes a Bachelor's degree in Software Engineering from Delhi Technological University (DTU, formerly DCE), graduating in 2021. Beyond core backend engineering, I possess a strong curiosity for the potential of Artificial Intelligence and Machine Learning within enterprise software. My foundational experiences with Deep Learning and time-series modeling during internships fuel my ongoing interest in exploring how AI can intersect with complex business logic to drive innovation and efficiency. I am driven by continuous learning, particularly in distributed systems, cloud-native architectures, and software design principles. Eager to connect with fellow engineers and leaders who share a passion for building exceptional software

Experience

4 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs 8 mos

Current Experience

Salesforce

Member of Technical Staff

Oct 2021 – Present · 4 yrs 8 mos

Architected and built core backend services for Salesforce’s Subscription Management platform, creating the foundational layer for recurring billing. These components were pivotal in launching a new product line that captured over $250M in annual revenue.
Engineered an automated Foreign Exchange (FX) Gain/Loss calculation system to account for currency fluctuations between invoicing and payment. Achieved 99.9% financial reporting accuracy across multiple legal entities and eliminated 40+ hours of manual monthly reconciliation.
Scaled a high-throughput Accounting Period Management service using Salesforce Data Cloud, enabling the processing of over 90 million records monthly. This optimization streamlined transaction tracking and improved operational efficiency for large-scale enterprise customers.
Spearheaded the end-to-end design of a new Invoice Preview API (Java/Spring Boot), reducing customer billing inaccuracies by 20%. Engineered the system to support 13 unique billing periods and complex tax scenarios.
Optimized the Salesforce Business Rules Engine by designing a file-based architecture and implementing a distributed caching layer. This significantly improved lookup performance for complex rule sets containing over 10 million rows.
Designed and implemented an asynchronous Transaction Journal Generation service for Salesforce Billing. This microservice accurately segregates financial data for 12+ entity types into General Ledger accounts, ensuring strict financial compliance.
Drove full-stack feature delivery (LWC, Spring Boot) for a high-priority customer’s Pricing Engine. Led technical design reviews, stakeholder presentations, and the successful production rollout of critical pricing components.
Tech Stack: Java, Spring Boot, Microservices, Salesforce Platform (CPQ, Billing, Data Cloud), PostgreSQL, Distributed Systems, Asynchronous Processing, REST APIs.

JavaSpring BootMicroservicesREST APIsPostgreSQLDistributed Systems+1

Slb

Software Engineer

Jul 2021 – Oct 2021 · 3 mos

Completed comprehensive onboarding and industry-specific training.

Samsung india

Software Engineer Intern

Jun 2020 – Nov 2020 · 5 mos · Delhi, India

Completed the Project titled "Handwriting Recognition from Medical Precriptions" with the R&D team at Samsung Noida and Samsung Digital Academy Research Lab DTU

Machine LearningDeep Learning

Teri - the energy and resources institute

Software Engineer Intern

Dec 2019 – Jan 2020 · 1 mo · Greater Delhi Area

As a Software Engineering Intern, involved in data science, analysis and Multi variate Time Series prediction of the Air Quality Index with LSTM's and Recurrent Neural Networks in Python. Used Tensorflow, Keras and python libraries like pandas, numpy, sci-kit learn, seaborn etc for data preprocessing and manipulation.

Delhi technological university (formerly dce)

Undergraduate Student Researcher

Aug 2019 – Jun 2020 · 10 mos · Greater Delhi Area

Completed the Project titled “Software Bug Predictor” by Principal Investigator, Dr. Ruchika Malhotra, Professor, and Head of Department of Software Engineering, Delhi Technological University.