Rahul Dhar
Ai Engineer @AllianceTek Inc.
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WORK HISTORY
Ai Engineer @AllianceTek Inc.
Ahmedabad, IN
As a Senior Data Scientist and ML Engineer, I lead the development of AI systems focused on Generative AI, LLMs, NLP, and scalable backend architectures. I collaborate across teams to deploy intelligent solutions that streamline business processes and deliver measurable impact. Delivered 5+ GPT-4 and LangChain-based AI products for recruitment, finance, and analytics, boosting process efficiency by 40% Built Agentic AI-powered portals for Strategas, enhancing research access and personalized insights for users Engineered and deployed scalable REST APIs with Flask, FastAPI, and Docker; ensured 99.9% uptime on AWS Created deep learning pipelines for vision and NLP tasks with 95%+ accuracy using CNN, YOLO, and Transformer models Optimized team delivery by mentoring junior developers and driving high-quality AI deployments within sprint cyclesTech Stack: Python · GPT-4 · LangChain · FastAPI · SQLAlchemy · PostgreSQL · Docker · AWS · OpenAI API · Agentic AI · NLP · Deep Learning · HuggingFace
EDUCATION
Regent Education and Research Foundation Group of Institutions 263
Diploma in Computer Science & Technology, Computer Science
SWAMI VIVEKANANDA UNIVERSITY
Bachelor of Technology - BTech, Data Science
ABOUT RAHUL DHAR
I’m a results-oriented AI Engineer and Python Developer with 5+ years of experience delivering end-to-end AI, NLP, and Generative AI solutions that solve real-world problems at scale. What I Do:I specialize in building intelligent systems using Large Language Models (LLMs) like GPT-4, LangChain, Langgraph and Agentic AI frameworks. I transform complex business challenges into high-performance applications across healthcare, recruitment, sales, travel, and media industries. Key Achievements: Delivered 10+ AI/ML projects across 4+ industries—boosted client decision-making efficiency by up to 45% Reduced hiring time by 40% through AI-driven CV parsing and interview automation Improved user engagement by 25% using GPT-4-based chat pipelines and intelligent summarization Achieved 95%+ accuracy in face recognition and medical test kit detection using CNNs, YOLO, and DeepFace Built scalable APIs and microservices with Flask, FastAPI, and Docker, deployed on AWS with 99.9% uptime🧠 Tech Stack & Tools I Use:Python, NLP, Generative AI, GPT-4, LangChain, Transformers, Deep Learning, Flask, FastAPI, SQLAlchemy, PostgreSQL, OpenCV, OCR, Docker, AWS (EC2, S3, Lambda)🤝 Team & Leadership:Led a cross-functional team of 4+ developers and data scientists, delivering sprint goals and mentoring junior engineersCollaborated directly with stakeholders to define AI architecture, performance metrics, and long-term business impact Mission:I’m passionate about leveraging cutting-edge AI and automation to build ethical, impactful, and scalable tech products that create real value. Feel free to connect if you\'re looking for someone to lead or contribute to AI/ML-driven projects, LLM integrations, or intelligent backend systems.
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