About

Software Development Engineer | Amazon AGI Team

Building the future of Artificial General Intelligence at Amazon AGI, where I architect and scale production ML infrastructure powering next-generation AI systems at unprecedented scale.

With 5+ years engineering highly-scaled production ML systems across Amazon, Nvidia, UBS, BNY Mellon, and innovative AI startups, I specialize in the full ML lifecycle—from pre-training and post-training (SFT, RLHF) of large language models to deploying multi-agent agentic systems on distributed Kubernetes clusters processing petabyte-scale data.

Professional Experience

5+ years engineering production ML systems at scale across Amazon, Nvidia, UBS, BNY Mellon, and innovative AI startups:

Technical Depth:

• LLM Infrastructure: Pre-training data pipelines for foundation models, post-training systems (SFT, RLHF, DPO, PPO), distributed training optimization across multi-GPU/TPU clusters
• Kubernetes Expertise: Deep hands-on experience architecting ML platforms—custom operators, GPU scheduling, multi-tenant clusters, service mesh integration, autoscaling, observability at scale
• Production ML Workloads: Serving billion-parameter models with low-latency inference, real-time prediction pipelines, distributed systems design
• Multi-Agent Systems: Designing and deploying agentic AI solutions with tool-use, reasoning, and autonomous decision-making at scale
• GPU-Accelerated Computing: Optimizing CUDA kernels, mixed-precision training, multi-GPU training for high compute efficiency

Competition Wins & Recognition

• 🥇 1st Place - UBS Superstars Hackathon

  Real-time Sign Language Translation

• 🏆 Top 5 - Kaggle Image Popularity Challenge
• 🏆 Top 14/6,828 - Sales Forecasting Challenge (Top 0.2% globally)

Graduate Research Assistant | CHATS & PEACH Labs

• Conversation, Human-AI Technology, Safety (CHATS) Lab
• Privacy-Enabling AI and Computer- Human Interaction (PEACH) Lab

Background & Expertise

Education

• MS in Artificial Intelligence

  Khoury College of Computer Sciences, Northeastern University

  GPA: 4.0/4.0

• B.E. (Hons) in Electrical & Electronics Engineering

  BITS-Pilani

  India’s #1 Private University

My interdisciplinary background—from hardware architecture and electrical engineering to advanced AI—enables me to design optimized ML infrastructure and multi-agent systems that consider the full stack, from distributed system design and algorithm optimization to hardware acceleration on GPUs, TPUs, and custom AI accelerators.

Leadership & Community

Former President | Google Developer Student Club (GDSC), Northeastern University Led technical workshops, events, and community building initiatives connecting 100+ students with cutting-edge technologies and industry best practices.

Former Coordinator | National Service Scheme (NSS), BITS-Pilani Led smooth functioning of 140+ volunteer organization driving education at grassroots levels in 7 rural villages around Pilani and led enrollment of 6 kids of construction workers in partnership with Nirmaan NGO.

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Professional Certifications

• Deep Learning Specialization (Coursera)
• AWS Certified Machine Learning Engineer – Associate
• Azure AI Fundamentals
• Azure Data Fundamentals
• Google Cloud AI/ML

Let’s Connect

Interested in collaborating on LLM infrastructure, agentic AI systems, or production ML at scale? I’m eager to work on ambitious problems that push boundaries.

Need a tailored resume? Share the role details and job description—I’ll prepare a version highlighting the most relevant experience for your consideration.

Engineering AI systems at scale. Advancing AGI research. Open to collaboration on ambitious problems that push the boundaries of what’s possible.