

Dynamic Software Development Engineer III at ConverSight.ai, skilled in Python and Agile methodologies. Achieved significant improvements in system reliability and user satisfaction through innovative process enhancements. Passionate about mentoring and fostering team growth while delivering high-quality, scalable solutions that drive business success.
🔹 Python SDK for Analytics Platform
Tech Stack: Python, JupyterLab, REST APIs
Designed and deployed a Python SDK enabling no-code/low-code analytics workflows for end users
Built modules for smart analytics, proactive insights, historical data retrieval, and security management
Integrated SDK with JupyterLab, improving accessibility and developer productivity
Enabled users to interact with data, build insights, and manage workflows efficiently
Contributed to enhancing overall product usability and adoption
🔹 Conversational Analytics Chatbot
Tech Stack: Python, Golang, Redis, ArangoDB, Elasticsearch, SQLAlchemy
Developed a scalable NLP-based chatbot enabling users to query data using natural language
Built a knowledge base using Golang and created microservices including KBNet Engine, SynapseNet, Endpoint Manager, and Data Engine
Designed and developed REST APIs for efficient service communication and query processing
Implemented features such as “Did You Mean” suggestions, follow-up recommendations, and entity clarification to improve query accuracy
Designed preprocessing, post-processing, and execution layers for handling complex queries
Integrated Elasticsearch fallback mechanisms to handle ambiguous queries
Validated 2000+ semantic and domain-specific queries through regression testing
🔹 Data Manager – ETL & Data Validation Framework
Tech Stack: Python, SQL, OmniSci
Designed and implemented ETL pipelines to ingest data from Excel into OmniSci
Developed data validation and quality checks to ensure accuracy and consistency
Built a state management system for efficient data processing workflows
Implemented event-based loading mechanisms to improve ingestion performance
Reduced data inconsistencies by handling missing and duplicate records, improving overall data quality
Key Contributions & Initiatives
🔹 Automation & Support Optimization
Designed and implemented workflow-based automation solutions to address repetitive support issues
Reduced manual effort and improved issue resolution efficiency
Identified recurring problems and drove permanent fixes, improving system stability
🔹 Cloud & Platform Optimization
Contributed to cloud migration initiatives, optimizing infrastructure and reducing operational costs
Led internal product migration (V1 → V2), improving system efficiency, scalability, and maintainability
🔹 Engineering Communication & Initiatives
Curated and published engineering newsletters for over a year, sharing product updates and technical insights
Improved knowledge sharing and visibility across engineering teams