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AI Engineer with 1+ years in Agentic Systems and LLM-powered Automation with 1.5+ years of experienc
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Assessing your cultural and operational fit
AI Engineer specialising in agentic systems, RAG pipelines, and LLM-powered automation, with a track record of 60-94% efficiency gains across enterprise deployments. Delivered 5+ production-ready AI agents across HR, Finance, Vendor, and Accounts Payable domains. Proficient in LangChain, CrewAI, Azure OpenAI, and Microsoft Copilot Studio. Passionate about building scalable, measurable AI solutions that drive real business impact.
Thakur College of Science and Commerce
B.Sc. · Information Technology
August 1, 2020 – June 30, 2023
R7 Soft Services
AI Engineer
December 1, 2025 – Present
Mumbai, Maharashtra, India
Bafflesol Technologies
Associate AI Engineer
August 1, 2025 – November 30, 2025
Gurgaon, Haryana, India
Bafflesol Technologies
AI Intern
February 1, 2025 – August 31, 2025
Gurgaon, Haryana, India
Vendor Onboarding & PO Automation Agent
August 1, 2025 – Present
Automated vendor registration, PO creation & multi-level approvals – cut cycle time by 65% and eliminated manual handoffs.
Accounts Payable Intelligence Copilot
August 1, 2025 – Present
Conversational AP copilot for invoice & payment status – deflected 70% of Finance queries, saving 15+ hrs/week.
Smart Proposal Builder Agent
August 1, 2025 – Present
AI-driven proposal generation – cut turnaround 94% (3 days → 2 hrs); contributed to ~20-25% faster deal closures.
Post-Sale Mobile Support Agent
February 1, 2025 – Present
Conversational AI agent for a mobile selling company - handled post-sale repair queries, auto-raised service tickets & tracked status via REST APIs; deflected 68% of support queries, saving 12+ hrs/week.
Microsoft Applied Skills: Create agents in Microsoft Copilot Studio
Microsoft
June 1, 2026 – Present
Copilot Studio Masterclass - Building Enterprise AI Agents
Unknown
June 1, 2026 – Present
Multi AI Agent Systems with CrewAI - DeepLearning.AI
DeepLearning.AI
June 1, 2026 – Present
LangChain & Vector Databases in Production - Activeloop & Towards AI
Activeloop & Towards AI
June 1, 2026 – Present
Introduction to Machine Learning - NPTEL
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across HR, Finance, Vendor Onboarding, and Sales Support, along with experience in both R7 Soft Services and Bafflesol Technologies, indicates adaptability and a broad understanding of enterprise needs. The focus on delivering measurable ROI and achieving high user adoption aligns with a results-driven culture. The certifications and continuous learning (reading technology/AI books) suggest a proactive and growth-oriented mindset. The target role of 'AI Engineer' aligns perfectly with the candidate's professional experience and skill set, indicating a strong cultural fit for an organization focused on practical AI implementation.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with clients to architect Generative AI solutions and deliver production-grade deployments, indicating good client-facing and project delivery skills. The focus on measurable ROI and user adoption (80%+) suggests a results-oriented and user-centric approach. Experience in diverse domains (HR, Finance, Vendor, Sales Support) demonstrates adaptability. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.