Not what a model outputs — how the system decides, executes, and holds under load.
MLOps & GenAI · IIIT Bangalore · PyTorch · LLMs · RAG · GCP
About
Honest where it matters. Available when it's hard.
Mechanical engineering by training — which meant learning to ask why a system fails before asking how to build it. AI hit in second year like a realisation, not a subject: software that understood language was a new class of thing.
Production changed the picture fast. The GenAI core — prompts, basic RAG, API calls — is learnable in three months. Everyone builds it. The real gap is what surrounds the model: the routing logic, the concurrency architecture, the observability that tells you what actually broke and when.
At Coforge on the HSBC Conversational Analytics project: GIL'd threading replaced with CPU-pinned parallel instances, asyncio + uvloop across the full pipeline. 7× session capacity. $1.3M annualised savings. MTTR from ~1hr to ~10mins.
Most teams ship inference as a function call. The real questions — p95 latency, 10× load, what happens when a backend goes down — are architecture questions.
Systems that perform in demos often don't survive production. Real constraints — latency budgets, VRAM ceilings, cost per token — are known at design time.
Data-driven physics models aren't data problems — they're structure problems. Embedding PDEs into the objective is what makes sparse data sufficient.
Experience & Education
Impact
Featured
Recommendations
"Ashwin showed a great flexibility and stretched to complete a challenging task which resulted in client's delight. He was able to code a logic which client's other partner could not do it."
"Ashwin's work on the telephony ingestion layer — PJSIP-based, highly stable, low-latency SIP call-handling at scale — was technically precise. Highly recommended for roles in VoIP engineering or conversational-AI infrastructure."
"His expertise in scalability, testing, and debugging proved invaluable. He played a crucial role in designing and implementing the scalability logic, ensuring our infrastructure could handle increasing workloads efficiently."
"Ashwin is a risk-taker, never shying away from trying innovative approaches — and what sets him apart is his ability to convert those risks into successful implementations."
Stack
Profiled under load. Not just imported.