AI Engineer with 2+ years in Agentic AI & LLMs
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Currently serving as a Lead AI Solution Engineer at Raco AI, specializing in end-to-end AI solution delivery. I translate executive requirements into detailed SRS, design low-level system architecture, and oversee the integration of LLMs, ASR-STT-TTS, VL, and Video Generation models with RESTful APIs. My focus is on building scalable, production-ready solutions using fine-tuned LLMs and agentic AI, ensuring performance, team coordination, and measurable business impact.
East West University
BSc in Computer Science and Engineering · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Sonar Bangla College
HSC
June 1, 2018 – May 31, 2019
RACO AI
Lead AI Solution Engineer (AI & Backend)
November 1, 2025 – Present
India
SM Technology
Team Lead SM Technology
August 1, 2025 – October 31, 2025
India
SM Technology
AI Developer SM Technology
May 1, 2025 – August 31, 2025
India
East West University, Dhaka
University Teaching Assistant
February 1, 2023 – July 31, 2024
Dhaka, Dhaka Division, Bangladesh
RACO-AGENT an In-house Agentic AI SaaS System
March 1, 2026 – June 1, 2026
Converting RACO-CHAT into a production-grade Agentic AI system with distributed backend and GPU-based LLM infrastructure. Deployed in-house LLM serving using vLLM on dedicated GPU servers for low-latency, scalable inference. Built a multi-agent orchestration framework with routing, evaluator-in-loop, tool assignment, and workflow control. Implemented multi-layer memory and RAG system using Qdrant and PostgreSQL with integrated tools for search, retrieval, and execution.
RACOAI.IO: RACOAI Website & RacoChat Integration
November 1, 2025 – March 1, 2026
Designed and developed the enterprise website for racoai.io. Designing the system architecture and implementing the whole backend, admin side frontend. Built and integrated RacoChat, an AI-powered conversational chatbot system for real-time natural language interaction as a SaaS product. Tools & Skills: FastAPI, React.js, PostgreSql, WebSockets, AI Chat Integration, Stripe Payment Subscription, Full-Stack Engineering
AI Voice-Based Lead Generation & Client Acquisition Platform (Demo Video)
July 1, 2025 – August 31, 2025
Built an AI-powered voice system for automated lead generation and client acquisition with a full admin platform. Integrated Twilio and ElevenLabs to enable scalable inbound/outbound calling, supporting 100 automated calls per batch. Designed multiple specialized AI agents with service-specific guidelines to handle diverse business interactions and dynamic conversations. Automated meeting scheduling via Google Meet link generation for direct CEO-level engagement. Tools & Skills: FastAPI, Twilio, ElevenLabs, MongoDB, WebSocket, WebRTC, Webhooks, Agent Design
PixieGPT: Design and Implementation of Generative Pre-trained Transformer for Universities of Bangladesh
June 1, 2024 – August 31, 2024
Built a chatbot to automate responses to university-related queries, reducing workload for administrative staff. Collected and structured data from university websites using BeautifulSoup and template-based extraction. Fine-tuned T5 and Mistral 7B (with QLoRA) for domain-specific accuracy; deployed T5 via Streamlit for real-time use. Evaluated Mistral 7B outputs manually, achieving high response accuracy for educational FAQs.
Sentiment Analysis using BERT, ROBERTa, Phi-2
November 1, 2023 – December 31, 2023
Developed a sentiment classification model using BERT, ROBERTa, and Phi-2 with advanced preprocessing for high accuracy. Designed a feature extraction pipeline with word cloud, bigram, and trigram analysis for deeper pattern insight. Applied random oversampling and model-specific preprocessing to enhance learning and balance data distribution. Key Technologies: BERT, ROBERTa, Phi-2, Python
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest and practical experience in cutting-edge AI fields like Agentic AI, Multimodal Generative AI, and MLOps, which aligns well with an AI Engineer role. Their experience in both professional and academic settings, including leading research projects and acting as a Scrum Master, indicates a blend of practical application and foundational understanding. The diversity of projects, from lead generation platforms to sentiment analysis and university chatbots, demonstrates a broad skill set and adaptability, suggesting a good cultural fit for dynamic and innovative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team coordination, and mentoring skills through their roles as Lead AI Solution Engineer and Team Lead. Their experience in translating executive requirements into SRS documents and managing project workflows indicates a structured and business-oriented approach. The focus on scalability, performance, and business impact aligns well with operational excellence. The candidate's involvement in diverse projects suggests adaptability and a proactive attitude towards problem-solving.