Software Developer To leverage my 6.5+ years of experience in software development-including backend, frontend, and AI/ML technologies-along with my domain expertise in CRM and Salesforce, to contribute meaningfully to innovative and scalable solutions. I aim to grow into a technical leadership role where I can drive impact through technology, mentor teams, and build products that solve real-world problems.
Overview
7
7
years of professional experience
Work History
Senior Software Engineer
LNE BHARAT Pvt. Ltd.
Bengaluru
08.2025 - Current
Developing and deploying end-to-end product features across staging and production environments on AWS
Managed CI/CD pipelines using Bitbucket Pipelines, ensuring reliable and repeatable deployments.
Set up domain configuration and hosted applications, handling DNS, SSL, and cloud infrastructure.
Integrated OpenAI APIs to design and build AI-powered agents, improving automation and user experience.
Identified and resolved backend bugs, improving system stability and performance.
Mentored junior developers, conducting code reviews and guiding best practices in development.
Actively contributed to monthly release and deployment cycles, coordinating testing and go-live activities.
Participated in full testing lifecycle including unit, integration, and regression testing prior to releases.
Salesforce Developer
XCD HR Pvt. Technologies
Bengaluru
10.2021 - 04.2025
Modernized a custom Salesforce HR & Payroll product used by hospitals and enterprise clients, owning end-to-end design, implementation and delivery.
Designed custom data models and metadata for employee profiles, leave rules, statutory rates and payroll configurations to enable dynamic, configurable deployments.
Imported 10,000 country-holiday records from Excel into Custom Metadata using SFDX CLI, enabling global holiday configuration.
Built Apex triggers, approval processes and Flows to automate leave and payroll workflows and enforce complex business rules.
Developed a UK net-pay engine covering tax, NI, pension and statutory pay to ensure HMRC compliance.
Generated dynamic PDF payslips and developed 5+ Lightning Web Components; refactored legacy Apex with improved exception handling and maintained unit test coverage above 85%.
Established CI/CD using SFDX, Git and Jenkins; built Unlocked (1GP) and Managed (2GP) packages for repeatable deployments and simplified release management.
Participated actively in Agile ceremonies including daily stand-ups, sprint planning and release coordination.
Software Engineer
SprinRiver Technologies Pvt. Ltd.
Kolkata
06.2019 - 10.2021
Led development of 'Texplicit', an AI-powered product combining backend engineering, ML models, and DevOps automation.
Built a subscription module in Python/MySQL, integrated payment gateways, and deployed AWS Lambda functions for serverless workflows.
Developed a Django-based leave management web application with a Bootstrap/jQuery frontend.
Automated performance testing using JMeter, reducing manual testing time by 10+ hours per cycle.
Conducted vulnerability assessments using Vooki, Metasploit, and Nmap on Kali Linux.
Implemented NLP pipelines for sentiment analysis and summarization with Gensim, NLTK, and BERT.
Developed time-series forecasting models with Facebook Prophet for 7-, 15-, 30-, and 60-day sales predictions.
Created a role-based issue tracking system using Django and SQL Server with a Bootstrap-based frontend.
Education
M.Sc. - Computer Science
St. Xavier's College
Kolkata
05-2019
B.Sc. - Computer Science
Midnapore College
Midnapore
01-2017
Skills
Python
SOQL
Django
Lightning Web Components (LWC)
Jenkins
AWS
Metasploit
Pandas
Gensim
Facebook Prophet
Flows
JavaScript
HTML
Flask
Visualforce
Bitbucket Pipelines
Postman
JIRA
NumPy
NLTK
REST APIs
Process Builder
Apex
CSS
Salesforce Lightning
Git
SFDX
Vooki
OpenAI API
Scikit-learn
BERT
Custom Metadata Types
Publications
Mood and Vulnerability Prediction through Natural Language Processing, 01/01/19, Published paper titled 'Mood and Vulnerability Prediction through Natural Language Processing' in the International Journal of Innovative Technology and Exploring Engineering (IJITEE), under the guidance of Professor Debabrata Datta.