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AI Engineer with 1+ years in Generative AI & Data Analytics.
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Assessing your cultural and operational fit
Data-focused Software Engineer specializing in Generative AI and analytics with experience in building scalable AI systems, LLM-powered applications, and data pipelines. Skilled in Python, SQL, FastAPI and Power BI with strong expertise in data analysis, visualization, and deriving actionable insights. Experienced in developing RAG-based solutions and transforming complex datasets into business-driven outcomes. Recognized for strong communication, problem-solving ability, analytical thinking, and collaborative teamwork.
CVR College Of Engineering, Hyderabad
B. Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
alliantgroup
Software Engineer
April 1, 2025 – June 30, 2026
India
University Student Support and Tutor Assistants
April 1, 2025 – June 30, 2026
Developed RAG based chatbots for 4000+ students and faculties for academic, faculty, and campus queries reducing manual query handling by 45%. Built end-to-end RAG pipelines (web scraping, PDF ingestion, chunking, indexing, embedding generation). Optimized retrieval with hybrid search (BM25 + embedding's), boosting relevance by 25%. Enhanced Tutor AI for 3 classroom programs, developed Power BI Dashboard for user-engagement analytics.
Sales GPT - AI Sales Assistant for Salesforce
April 1, 2025 – June 30, 2026
Built an AI-powered sales assistant that automated lead intelligence and opportunity summarization, reducing sales research time by 40% and enabling faster, more informed deal execution. Developed FastAPI-based backend integrating Salesforce CRM data, LLM workflows, and structured output validation, improving lead insight accuracy by 28%. Designed schema-validation tool ensuring 100% structured outputs, reducing frontend rendering errors by 60%.
Finance GPT -Assistant for Inventory and AR/AP Process
April 1, 2025 – June 30, 2026
Developed scalable ETL pipelines using Azure Data Factory (ADF), improving data processing efficiency by 35%. Built agentic SQL-generation framework with LLM-as-Judge validation, increasing query accuracy by 32%. Created automated LLM benchmarking framework (Claude Sonnet, GPT Codex, Gemini-Fast), reducing model evaluation time by 50% and improving selection efficiency.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
August 1, 2025 – Present
Data Science Fundamentals with Python and SQL Specialization
Coursera
June 1, 2025 – Present
Java Programming
NPTEL
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI engineering skills across different domains (university support, sales, finance), indicating adaptability and a broad interest in problem-solving. The mention of collaborative teamwork in the career summary suggests a positive cultural fit for team-oriented environments. The certifications and minor in AI/ML further show a proactive learning attitude, which aligns well with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, problem-solving ability, analytical thinking, and collaborative teamwork. The project descriptions indicate an ability to translate complex technical solutions into business-driven outcomes, which is crucial for operational fit in a senior role. The focus on quantifiable results (e.g., 'reducing manual query handling by 45%', 'boosting relevance by 25%') suggests a results-oriented mindset.