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AI Engineer with 3+ years in AI-driven systems & backend development.
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Assessing your cultural and operational fit
Software Engineer with ~3 years of experience in AI-driven systems and backend development. Skilled in Python, FastAPI, AWS, and LLM integrations using AWS Bedrock. Built RAG-based applications with LangChain and pgvector, delivering scalable solutions that improve productivity and reduce manual effort.
NIT Hamirpur
B.Tech · Computer Science & Engineering
N/A – June 30, 2023
Carrier Technologies India Limited
Senior Software Engineer
April 1, 2026 – Present
India
Carrier Technologies India Limited
Software Engineer
July 1, 2023 – March 31, 2026
India
FieldAssist AI
June 19, 2026 – Present
Built a production-grade RAG system using LangChain and Anthropic Claude (via Amazon Bedrock), enabling context-aware querying over large document corpora to assist field technicians. Implemented low-latency semantic search over 10K+ chunks using pgvector with hybrid retrieval and metadata filtering, improving answer relevance by 25%.
AI-Driven UI Automation Framework (Squish Alternative)
June 19, 2026 – Present
Designed and led development of a custom UI automation framework to replace Squish, reducing dependency on high-cost licensed tools and ultimately reducing the repetitive effort of a tester up to 50%. Implemented multiple automation approaches: coordinate-based validation framework, headless automation using Spix + GammaRay, and vision-based automation using the Tars framework.
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG systems to UI automation frameworks and unit test generation, indicates a broad interest in applying AI to various problems. Their focus on reducing manual effort and improving productivity aligns well with a results-driven culture. The rapid promotion and awards suggest a proactive and high-achieving individual who would likely thrive in a challenging and innovative environment. The skills listed (Python, C++, FastAPI, LangChain, AWS, Docker, System Design) are highly relevant to modern AI/ML development, indicating a good alignment with a tech-forward culture.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through designing and leading development of complex systems. Their experience in collaborating with external vendors (Sourcegraph) and focusing on cost-efficient alternatives suggests a pragmatic and business-oriented approach. The promotion to Senior Software Engineer within three years and multiple awards indicate strong learning agility, performance, and ownership, which are excellent operational fits.