Software Engineer @ Spectra Solutions · 2 yrs exp
Software Engineer with experience in Generative AI, data engineering, and business intelligence. Skilled in Python, SQL, Snowflake, LangChain, LangGraph, LLMs, and Retrieval-Augmented Generation (RAG). Experienced in developing AI-powered applications, including an NL-to-SQL analytics system and an AI-driven construction bid analyzer. Hands-on experience with Snowflake data modeling, data pipelines, data quality validation, and interactive Tableau dashboards. Interested in opportunities across Generative AI, AI Engineering, Python Development, and Data Engineering, where I can contribute to building scalable AI-powered applications and data-driven solutions.
4 attempting
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Experience
Software Engineer
Spectra Solutions · Bengaluru, Karnataka (Remote)
Nov 2024 – Present · ~2 yrs
• Data Engineering & Modeling: Develop and optimize Snowflake data models, views, complex SQL queries, and data pipelines to support operational reporting and business intelligence requirements. • Generative AI & NL-to-SQL: Developed an AI-powered analytics platform using Python, LLMs, and Snowflake to enable natural language querying, conversational context handling, and role-based access controls (RBAC). • Data Pipeline Development: Engineered Snowflake Medallion architecture pipelines using Streams, Tasks, Stored Procedures, and Views. Contributed to Microsoft Fabric and Lakehouse proof-of-concept initiatives using Delta Tables. • BI & Dashboard Development: Build and maintain interactive Tableau dashboards for underwriter and loan processor performance, SLA tracking, resubmission trends, management reporting, and drill-through analytics. • Data Quality & Testing: Perform end-to-end validation of Snowflake datasets against Tableau reports, investigate data discrepancies and missing values, and ensure reporting accuracy. • Stakeholder Collaboration & Client Delivery: Collaborate with client-side Application Managers and business stakeholders to gather requirements, prioritize reporting enhancements, conduct root-cause analysis, and coordinate testing and release cycles. • Architecture & Technical Documentation: Contribute to solution architecture discussions, security considerations, technical documentation, stakeholder demonstrations, and knowledge-transfer sessions across the software development lifecycle.
Data Science Intern
Learnbay · Bengaluru, Karnataka (Remote)
Nov 2023 – Nov 2024 · ~1 yrs
• Gained extensive experience in Python, machine learning, and data visualization during my internship at Learnbay. • Led the development of predictive models, achieving up to 93% accuracy in real-world projects. • Created 10+ interactive dashboards using Power BI and Tableau, improving data accessibility and decision-making. • Managed and optimized databases with SQL, MongoDB, and Snowflake, enhancing query performance and data retrieval speed. • Developed strong skills in feature engineering, model evaluation, and statistical analysis through hands-on projects.
Education
Master of Technology (MTech) Engineering Design
Amrita Vishwa Vidyapeetham
2020 – 2022
Bachelor of Technology (BTech) Mechanical Engineering
Vignana Bharathi Institute of Technology
2015 – 2019
Skills & stack
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