Udayan Pawar
DevOps and AI Engineer | Architecting Intelligent, Scalable Systems
About
I'm a DevOps and AI Engineer with 2.5 years of hands-on experience bridging cloud infrastructure automation, CI/CD pipelines, container orchestration, and AI-driven architectures. My expertise lies in crafting scalable microservices, leveraging LangChain/LangGraph for agentic workflows, and deploying enterprise-grade AI platforms that deliver tangible business value. At ESDS Software Solution Limited and the Indian Air Force, I've led transformative projects that slashed manual efforts by up to 70%, boosted efficiency by 35%, and ensured zero unscheduled downtime through robust observability and compliance measures.
Work Experience

Engaged as technical consultant for high-impact defense AI project. Project details classified under Non-Disclosure Agreement (NDA) with the Indian Air Force. Worked on cutting-edge AI/ML solutions for critical defense applications involving advanced computer vision, natural language processing, and autonomous systems. Collaborated with senior defense officials and technical teams to deliver mission-critical capabilities. Received commendation for exceptional contribution to national defense technology advancement. Full project scope and technical specifications remain confidential under Official Secrets Act.

Indian Air Force
Developed EKLAVYA - AI Flight Instructor, an innovative AI-powered flight training system for pilot education. Implemented real-time instruction algorithms and feedback mechanisms for training simulations. Received official appreciation from the Indian Air Force for technological innovation in defense training. Project demonstrated significant potential for revolutionizing pilot training methodologies.
Achievements & News
Latest updates, recognitions, and highlights
Full B.Tech Scholarship
Awarded full scholarship by ESDS Software Solution Ltd. for exceptional performance
Research Paper Published - Springer Nature
Published paper on 'AI-Driven Financial Fraud Detection Using Ensemble Machine Learning Techniques' at the International Conference on Banking and Finance, organized by Vietnam Banking Academy. The research presents a novel approach combining multiple ML algorithms for enhanced fraud detection accuracy in real-time financial transactions.
Research Paper Under Review - Small Language Models
Submitted paper titled 'A Comparative Study of Small Language Models: Efficiency, Performance, and Resource Utilization across Diverse Hardware Architectures.' The research benchmarks Phi-3, Gemma-2, and Llama-3.2 across cloud GPUs, consumer GPUs, and CPU environments—analyzing inference latency, memory utilization, power consumption, and performance-per-dollar metrics. Additionally proposes enhancement techniques including knowledge distillation from larger LLMs, quantization-aware training, LoRA-based fine-tuning, retrieval-augmented generation (RAG) integration, and speculative decoding to bridge the SLM-LLM performance gap while maintaining resource efficiency.
Latest Blog Posts
Recent articles and insights
Skills
Projects
SimpleTex
Agentic pipeline generating high-ATS-score LaTeX resumes from GitHub profiles or existing PDFs. Features AI-driven parsing and content enhancement for optimal impact.
MatchMyCareer
AI-powered career guidance platform with multi-agent systems for resume parsing, job matching, and personalized coaching. Features secure authentication and real-time job board integration.
EnTAL AI Hiring Platform
Multi-agent HR system with OCR-based resume extraction, semantic matching, and dynamic interview generation. Handles 200% more simultaneous users with high-performance Golang API.
EKLAVYA - AI Flight Instructor
AI-powered flight training system recognized by the Indian Air Force. Provides real-time instruction and feedback for pilot training simulations.
Cloud-Native Microservices Framework
Golang-based framework with service discovery, load balancing, and circuit-breaking. Achieved 3x throughput via concurrency optimizations.
Swayatta ERP 4.0
Robust microservices architecture for critical ERP functionalities with automated deployments. Optimized resource allocation reducing downtime and costs.
Observability Stack Implementation
Comprehensive monitoring solution across enterprise systems with proactive alerting and real-time dashboards. Reduced system downtime by 35%.
