AI Engineer with 1+ years in Agentic AI, Conversational AI & Computer Vision
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AI Engineer specializing in Agentic AI, Conversational AI, Computer Vision, and Intelligent Automation. Experienced in building and deploying LangGraph-based AI Agents, RAG systems, Voice AI platforms, and production-grade AI workflows. Skilled in LLM orchestration, workflow automation, OCR/VLM pipelines, scalable backend development, and end-to-end AI product delivery. Passionate about leveraging AI to solve real-world business challenges and drive measurable operational impact.
Government College of Engineering, Amravati
Bachelor of Technology · Information Technology
August 1, 2021 – June 30, 2025
Shri Shiv Chhatrapati College, Junnar
XII (HSC) · Science
June 1, 2020 – May 31, 2021
Savitara Infotel Pvt. Ltd.
AI Engineer
December 1, 2025 – Present
India
Sphere Soft Solutions Pvt. Ltd.
AI Intern
June 1, 2025 – November 1, 2025
India
Smart Information Extraction using OCR + VLM
June 24, 2026 – Present
Architected a hybrid document intelligence platform combining OCR, LLMS, VLMs, and document-layout understanding. Designed dual text and vision analysis pipelines with a result-fusion layer for improved extraction accuracy. Built an OCR + LLM pipeline for text extraction, semantic understanding, and structured information extraction. Implemented document layout detection using Docling and developed workflows for identifying and processing visual elements. Leveraged VLMs and LLMs to analyze visual content and combined outputs from both pipelines to generate unified, context-aware results.
Conversational AI Search Agent for E-Commerce
June 24, 2026 – Present
Designed a natural-language product discovery platform enabling users to search products using conversational queries. Built a multi-stage retrieval pipeline consisting of Query Understanding -> Intent & Filter Generation -> Search Index Retrieval -> Cache Layer -> Ground Truth Validation. Engineered a denormalized and flattened search index for high-speed retrieval while maintaining MongoDB as the source of truth. Improved search relevance and user experience through LLM-driven query parsing, dynamic filtering, and optimized retrieval workflows. Implemented intelligent query refinement, conversational history management and fallback mechanisms to handle ambiguous user requests and improve search accuracy.
Smart Voice Calling Agent
June 24, 2026 – Present
Built a production-grade real-time Voice AI platform integrating Twilio, VAD, STT, LLMs, TTS, and scalable backend services. Designed conversation workflows with session tracking, contextual memory, and conversation history management for accurate multi-turn interactions. Implemented bidirectional WebSocket communication, real-time audio streaming, response orchestration, and asynchronous processing to reduce latency. Optimized performance using streaming responses, caching, efficient context management, and low-latency audio pipelines for seamless voice interactions.
Trailer Truck Vision Agent
June 24, 2026 – Present
Developed an AI-powered trailer monitoring and analytics platform using LangGraph, YOLOv8, and LLaVA. Designed agent-driven workflows for trailer detection, activity analysis, and visual reasoning over truck yard operations. Improved detection accuracy by 20% while automating trailer activity monitoring and reporting.
Vehicle Yard Tracking & Geospatial Mapping POC
June 24, 2026 – Present
Developed a computer vision-based vehicle tracking system for continuous monitoring of cars within large storage yards. Implemented VIN mapping, vehicle re-identification, and geographical coordinate estimation for accurate location tracking. Built analytical workflows to provide detailed yard visibility, vehicle movement insights, and operational intelligence.
UiPath Process Automation
June 24, 2026 – Present
Developed UiPath automation workflows for annotation count reporting and operational data processing. Automated repetitive reporting tasks, reducing manual effort and improving processing efficiency by 50%. Enhanced reporting accuracy and workflow reliability through end-to-end process automation.
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning conversational AI, computer vision, and intelligent automation, demonstrates adaptability and a broad interest in AI applications. The experience in both full-time and internship roles, coupled with participation in hackathons and delivering knowledge sessions, indicates a proactive and collaborative mindset. The focus on end-to-end product delivery aligns well with a culture that values tangible impact and innovation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities and a results-oriented approach. The experience in collaborating with stakeholders suggests good teamwork and communication skills. The ability to design and implement complex AI workflows implies strong organizational and operational fit for a senior role.