Sumit Kevlani

Software Engineer

Sojat, Rajasthan, India0 mo experience

Key Highlights

  • Passionate about solving complex DSA problems.
  • Hands-on experience in building scalable applications.
  • Strong interest in technology and business innovation.
Stackforce AI infers this person is a SaaS and Fintech developer with strong skills in microservices and cloud computing.

Contact

Skills

Core Skills

MicroservicesApi DevelopmentData MigrationElkReact.jsPythonEmail NotificationsRag

Other Skills

AWSAlgorithmsAmazon DynamodbAmazon SESBERTBack-End Web DevelopmentC++Clean CodingCommunicationData StructuresDeep LearningJavaLarge Language Models (LLM)Machine LearningMongoDB

Experience

Amazon

Software Engineer

Jul 2025Present · 8 mos · Bengaluru, Karnataka, India · On-site

Increff

Software Engineer Intern

Jan 2025Jul 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

  • Training Project – POS (Point of Sale) System:
  • Built a training project covering Client Master, Article Master, Inventory & Order Management, and Sales Reports (daily and client-wise).
  • Designed and implemented a dedicated Invoice Generation Module to streamline billing workflows.
  • Marketplace Integration – Trendyol (MENA Region):
  • Developed data transforms to standardize marketplace data from Trendyol (covering inventory, orders, shipments, and returns).
  • Built pull flows to fetch marketplace data into Increff’s system.
  • Implemented push flows for order lifecycle events, including creation, updates, and cancellations, ensuring real-time synchronization.
  • Marketplace Integration – WooCommerce:
  • Designed and delivered end-to-end WooCommerce push flows, enabling seamless order ingestion and synchronization into Increff’s core merchandising systems.
  • Validated the flow with live client use cases, ensuring robust and scalable integration.
  • Built and integrated authentication filters to handle WooCommerce-specific requests.
  • API Development:
  • Built REST APIs for:
  • Fetching fulfillment locations for specific orders using order codes.
  • Fetching all fulfillment locations for clients on a specific marketplace.
  • Ensured APIs were optimized for performance and scalability to handle high transaction volumes.
  • Client-Channel Migration Project:
  • Automated migration from legacy systems by creating a Python-based migration script, which involved creating replication data on Cloud SQL for our deprecated production system, fetching and validating data in batches, and hitting APIs of our new system to create client-channel pairs.
  • Debugging & Monitoring (ELK Stack):
  • Actively monitored ELK (Elasticsearch, Logstash, Kibana) logs to identify, analyze, and resolve system issues.
  • Debugged critical errors in marketplace flows, reducing system downtime and improving stability and performance.
  • Proactively suggested improvements in logging and error-handling mechanisms to enhance observability.
PythonELKMicroservicesAPI DevelopmentData Migration

Trilogy innovations

Software Engineer Intern

Sep 2024Nov 2024 · 2 mos · Jalandhar, Punjab, India · Remote

  • Contributed to Protosmith, an AI-driven prototyping tool for generating project mockups (artifacts) using AI.
  • Built an email notification system to inform users when added to projects, improving collaboration and communication.
  • Developed a feedback and rating system to collect user insights and enhance product usability.
  • Designed and implemented annotation APIs with full CRUD functionality, and integrated them on the frontend using Redux state management.
  • Monitored AWS CloudWatch logs for issue detection, debugging, and system reliability improvements.
  • Automated cross-account data migration by writing a Python script to transfer DynamoDB data between AWS accounts.
PythonAWSReact.jsReduxEmail Notifications

Citi

Summer Intern

Jun 2024Jul 2024 · 1 mo · Pune, Maharashtra, India · On-site

  • Developed a Proof-of-Concept (POC) Contract Analysis ChatBot to streamline employer–vendor contract understanding and query resolution.
  • Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline, leveraging BERT for document embeddings and FAISS for efficient similarity search.
  • Built a question-answering system using a fine-tuned BERT-QnA model, enabling contextual answers directly from contract documents.
  • Enhanced document accessibility by enabling users to query large contract datasets and receive accurate, context-aware responses.
BERTRAGPython

Education

Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)

Bachelor of Technology - BTech — Information Technology

Dec 2021Jun 2025

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