Aniket V.

About Aniket V.

A highly skilled GenAI full-stack software developer with 6+ years of experience in designing and developing robust and scalable applications. Strong expertise in Java, Python, AI Development using frameworks like Spring Boot,FastAPI,Django,Spring MVC also worked with multiple databases like MySQL,MongoDB,Elasticsearch, S3 and multiple message brokers like Kafka, AWS SQS, RabitMQ. Also have worked with serverless computing services like AWS Lambda, AWS Glue Passionate about solving complex problems and delivering high-quality software solutions. Always interested to contribute to innovative projects and working with cutting-edge technologies.

Experience

1. Senior Software Engineer

   MobiKwik

   Jan 2024 — Present · Gurugram, IN

   Key Projects & ContributionsBill Payments & Recharges (RnB): Contributed to backend development for recharges and bill payments, ensuring smooth operator integration (Airtel, Jio, BBPS, etc.).Finance Chatbot (Lens.ai): Enhanced financial user experience via a chatbot interface, integrating bill and expense insights.Credit Card Bill Fetching:Built a Spring Boot service to fetch credit card bills instantly via Google Notification Service for real-time updates.Integrated BBPS API for seamless credit card dues retrieval and bill processing.Financial Insight System:Designed a Django-based service to analyze bank statements, categorize expenses, and deliver financial summaries.Developed a companion Java Spring Boot service that sends user queries, parses Django\'s response, converts it into executable DB queries, and returns formatted results.MBK Parser – Credit Card Statement Parser:Built a FastAPI-based backend to parse and process credit card statements.Utilized OpenAI’s LLMs for accurate extraction of transaction info from unstructured PDF/email data.Migrated legacy APIs from ColdFusion to Spring Boot, improving scalability, performance, and maintainability.Enhanced bulk upload systems for contracts and related entities, improving processing time by 10x.Migrated product and transactional data from SQL to Elasticsearch, significantly improving search response time. Technical SkillsLanguages: Java, PythonFrameworks: Spring Boot, WebFlux, FastAPI, Flask, Django, ColdFusion, ReactLLMs: OpenAI, LLaMADatabases: MySQL, PostgreSQL, MongoDB, Redis, AWS S3Message Brokers: Kafka, AWS SQSCloud & Tools: AWS (S3, Lambda, Athena, SQS), Microsoft AzureVersion Control: GitHub, GitLabDev Tools: IntelliJ IDEA, PyCharm, VS Code

Education

• Kendriya Vidyalaya

  Schooling+ 10th and 12th , Schooling

• Chitkara University

  Bachelor of Engineering - BE, Computer Science