founding software engineer / bangalore
himadri s chatterjee
senior software engineer / ai platforms / cloud systems
I build production AI platforms, real-time streaming services, payment infrastructure, and product-facing tools.
Currently building things at Convai.
- 4+ years shipping production software
- Core APIs and gRPC streaming for real-time conversational AI experiences
- GCP, Stripe payment architecture, enterprise deployments, React creator-facing tools
experience
senior engineering range, startup pace
Mar 2022 - Present
Founding Software Engineer / Convai
Designed REST APIs and gRPC streaming services for real-time conversational AI. Owned early GCP infrastructure,
autoscaling, stability and performance enhancements, Stripe subscriptions, and enterprise on-premise deployments.
- Built core services powering real-time voice and text interactions at scale.
- Designed the payment architecture for secure checkout flows supporting millions in transaction value.
- Successfully deployed GPU-enabled environments for enterprise accounts.
- Co-built React creator-facing tools and integrations used across the product.
- Helped with data processing and training for the in-house NeuroSync model powering character facial expressions.
May 2021 - Mar 2022
Systems Engineer / Tata Consultancy Services
Developed Azure infrastructure solutions and internal automation tools for enterprise operations, with a focus
on compute provisioning, networking, identity, reporting, and resource tracking.
Jan 2021 - Mar 2021
Software Developer Intern / BNP Paribas
Built full-stack features for an internal invoice management platform using Angular, C#, and SQL Server.
selected projects
systems, ai, and product work
Compact notes on the work that best reflects how I think: system design, technical depth, and useful products.
mobile / product
Nightingale App
A live pet-care app that connects pet owners with trusted caretakers when they are away, and matches volunteers
("Nightingales") with pets that need company. Shipped to the Play Store on FlutterFlow with a Firebase backend.
FlutterFlowFirebase
app link
web / product
GTJ World
A personal product space at the intersection of web, community, and lightweight publishing. The goal is to keep
the surface simple while making the underlying workflows useful and scalable.
ReactViteTailwindNetlify
gtj.world
ai systems / language models
GPT-2 from Scratch with LoRA + Speculative Decoding
A 124M GPT-2 built from scratch in PyTorch and taken end-to-end. Pretrained on 10B tokens of FineWeb-Edu
across 4x A100 on Modal (val loss 3.30), then validated against OpenAI's GPT-2 on HellaSwag - 0.295 vs 0.311
acc_norm on the same harness. Adds LoRA fine-tuning with downstream benchmarks (SST-2 79.7%, E2E-NLG BLEU
21.6), a KV cache, and speculative decoding proven distributionally exact against plain sampling.
PythonPyTorchModalDDPLoRATransformers
github
ai infrastructure
Durable AI Agent Workflow Platform
A production-style platform that runs AI tasks as durable workflows. Hand-built execution engine
with commit-before-execute steps, retry/backoff, idempotency keys for effectively-once side effects,
and a crash-recovery sweeper. Adds human-in-the-loop approval gates, OpenTelemetry tracing to Jaeger,
a cost/latency dashboard, and an automated eval harness across a benchmark suite.
FastAPICeleryPostgresRedisOpenTelemetryNext.js
github
video classification / 2019
Violent Crowd Behaviour Detection
Trained a C3D model on the ViolentFlow dataset to classify violent versus non-violent behaviour in crowd
footage. The work was written up and published as a paper.
C3DVideoViolentFlowPublished
github
computer vision / 2019
Galaxy Zoo Morphology Classification
Final-year bachelor's project comparing convolutional architectures on the Galaxy Zoo dataset to pick the
most suitable model for galaxy morphology classification. Published as a paper.
CNNAstronomyClassificationPublished
github
stack
from model internals to production infra
AI / ML
PyTorch, CUDA kernels, transformer architectures, multi-agent systems, LLM tool use, model data processing.
Cloud / Infra
GCP Cloud Run, GKE, IAP, Compute Engine, AWS, Kubernetes, Docker.
Backend / Data
Python, Go, gRPC, REST APIs, PostgreSQL, MongoDB, Firebase, Stripe payments.
Product Frontend
React, Next.js, JavaScript, HTML/CSS, creator-facing tools, integrations, and UI systems.
writing
notes, experiments, and technical essays
I keep longer-form technical writing on Medium, including older computer vision and machine learning notes.
This section can later surface selected essays directly.
read on medium