Headline

Internal Audit | Generative AI Engineer | LLM Applications • RAG • Text-to-SQL • Prompt Engineering | Python • Azure OpenAI • Claude | AI-Powered Analytics & Automation | Building Production AI Systems

About

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐭𝐮𝐫𝐧 𝐧𝐚𝐭𝐮𝐫𝐚𝐥 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐢𝐧𝐭𝐨 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. I’m a Generative AI / AI Engineer with 5+ years of experience across software engineering, data analytics, automation, and AI-driven solutions. My recent focus is building production LLM applications — particularly Text-to-SQL, RAG, prompt engineering, LLM orchestration, AI agents, and guardrails. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 🔹 Text-to-SQL systems that convert natural-language questions into validated SQL and analytical insights. 🔹 RAG pipelines using embeddings, semantic retrieval, and few-shot examples to ground LLM responses. 🔹 Advanced prompt-engineering strategies using system rules, business context, and structured outputs. 🔹 Multi-provider LLM orchestration using Claude and Azure OpenAI GPT-4 with fallback and token optimization. 🔹 AI guardrails including SQL validation, injection detection, table allowlisting, and sandboxed execution. 🔹 Agentic self-repair workflows that use execution errors as feedback to automatically correct failed queries. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 Python • SQL • LangChain • Claude • Azure OpenAI • RAG • Embeddings • Vector Search • Text-to-SQL • Prompt Engineering • AI Agents • LLM Orchestration • AI Guardrails • REST APIs • Power BI • DAX • ETL 𝐌𝐲 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 I started my career in software engineering and data analytics, building Power BI solutions, data models, ETL workflows, automated KPIs, and analytics platforms. That experience shaped how I approach AI today: AI is most valuable when it is connected to real data and real business problems. I'm now focused on building practical, reliable AI systems rather than AI demos that only work in a notebook. 𝐖𝐡𝐚𝐭 𝐈'𝐦 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫 Opportunities where Generative AI, LLM applications, data, and software engineering intersect — especially teams building real-world AI products and intelligent data applications. 📩 Open to connecting with people working on Generative AI, LLMs, AI Engineering, RAG, and AI-powered analytics.

Location

Bengaluru

AI stack

claude

cursor

gemini

github copilot

Work experience

Generative AI Engineer at Cognizant, Mar 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, • Architecting and building a production Generative AI analytics platform that converts natural-language questions into validated SQL, visualizations, and narrative insights using Python, Claude, Azure OpenAI GPT-4, and LangChain. • Engineering RAG pipelines using Azure OpenAI embeddings, semantic retrieval, and top-k few-shot examples to ground LLM-generated SQL and improve response accuracy. • Designing advanced prompt-engineering strategies combining system rules, few-shot prompting, business-context injection, and structured outputs for reliable Text-to-SQL generation. • Implementing AI guardrails including SELECT-only validation, SQL injection detection, table allowlisting, and sandboxed execution for AI-generated code to improve security and reliability. • Building multi-provider LLM orchestration with Claude → GPT-4 fallback, token-budget optimization, and an agentic self-repair loop that uses execution errors to automatically correct failed queries. • Developing GenAI-powered anomaly detection and automated insight generation to reduce manual analytical effort and accelerate time-to-insight.

Software Engineer 1 at MAQ Software, Jun 2022 - Mar 2025 · 2 yrs 10 mos, Hyderabad, Telangana, India, ✅Role: 1. Translated complex data into actionable business intelligence insights, boosting decision-making efficiency by 20%. 2. Designed and maintained interactive Power BI dashboards, improving operational transparency by 25%. ✅Responsibilities: ✔ Power BI Development: Designed custom dashboards & reports, integrating data from SQL, SharePoint, and Azure, increasing data-driven insights by 30%. ✔ Data Modeling & ETL: Built Star/Snowflake Schema models, optimized Power Query (M Language), and automated ETL pipelines, reducing errors by 35%. ✔ Advanced DAX & Performance Tuning: Developed complex DAX measures, reducing Power BI report load times to 8-10 seconds. ✔ Data Analysis & Visualization: Created impactful visualizations using Power Query, DAX, and M, ensuring data accuracy. ✔ Power BI Service & Security: Managed Power BI Service, Gateways, and Row-Level Security (RLS), ensuring secure data access. ✔ Automation & Power Platform: Integrated Power Automate for workflows & Power Apps for interactive reporting, improving efficiency. ✔ Stakeholder Collaboration: Worked with data engineers, scientists, and business leaders, boosting project success by 20%. ✔ Agile Project Execution: Applied Agile & Scrum, delivering 4+ projects, reducing delivery time by 50%. ✔ Training & Documentation: Conducted Power BI training, increasing adoption by 40%. Created technical documentation for governance. ✔ Quality Assurance & UI/UX: Ensured data integrity, report accuracy, and UI/UX best practices, improving stakeholder satisfaction by 35%.

Associate Software Engineer at Accenture, Aug 2021 - May 2022 · 10 mos, Pune Division, Maharashtra, India, Developed automated testing utilities using Python and Robot Framework to test multiple applications seamlessly and efficiently. Skills: 1.Python 2. Databases 3. Robot Framework

Machine Learning Engineer at Aadi Technology, Dec 2020 - Jun 2021 · 7 mos, Pune Division, Maharashtra, India, Worked on Truck Detection Project of JNPT i.e., Asia’s largest container port. I closely worked on following technologies: • Python with Machine Learning • Angular • SQL • SSMS Also worked on Git, JIRA and Agile.

Education

Master of Computer Applications - MCA, Computer Science, Government College of Engineering Aurangabad

Bachelor's degree, Computer Science, Vivekanand Arts, Sardar Dalip Singh Commerce & Science College