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Anoop Shetty
Software & AI Engineer
Hey, I'm Anoop, an engineer who loves building systems that hold up under real conditions: backends that handle load, pipelines that don't break, and AI that earns trust instead of sounding right. I care more about what survives real traffic than a good demo.
I recently completed Google Summer of Code under Open Genome Informatics (Courtot Lab, OICR), building an agentic pipeline that catches viral medical misinformation before it spreads.
Experiences
(click to view details)
Google Summer of Code 2026
AI Backend Engineer, Open Genome Informatics (Courtot Lab, OICR)
May 2026 - Aug 2026•Remote
Remote8
Agent Nodes
55%
Cloud Cost Cut
4
Social Platforms
3
Risk Tiers
- •Built automated pediatric surveillance (ENT Monitor) ingesting 4 social platforms to detect unsafe health challenges
- •Architected an 8-node LangGraph agentic loop pairing SBERT + HDBSCAN clustering with a PubMed/Semantic Scholar cascade
- •Engineered continuous lifecycle tracking with dynamic velocity routing and early-warning signals instead of one-off alerts
- •Prevented medical hallucinations via deterministic evidence scoring and automated NCBI database cross-referencing
- •Consolidated APIs into Next.js on a hybrid GCP setup, cutting cloud infrastructure costs by 55% ($58.4 to $26.16)
Next.jsLangGraphPythonGCPPostgreSQLSBERTOpenAIApify
Unstitched Studios
Software Developer Intern
Dec 2025 - Mar 2026•Mumbai, India
Mumbai, India5,000+
Users Served
50%
Iteration Cut
3
Team Size
2 Months
Time to Launch
- •Co-shipped theoneclickdesigner.com to production on AWS in a 3-person team, scaling the video template marketplace to serve 5,000+ users
- •Built and maintained event-driven backend infrastructure with AWS Lambda, DynamoDB, S3, and SQS for media asset storage and asynchronous job queuing
- •Engineered a generative AI prompt layer converting structured metadata into diffusion-model assets, cutting creative iteration time by 50%
- •Diagnosed and resolved an AWS WAF rule misconfiguration blocking iOS Safari and iCloud Private Relay traffic in production
- •Profiled render cycles and eliminated redundant React re-renders to resolve critical performance bottlenecks on Android devices
ReactJSNode.jsExpressAWS LambdaDynamoDBS3SQS
Projects
(click to view details)
ENT MonitorLiveGSoC
LangGraphPythonOpenAI
Pediatric health surveillance system tracking viral social media trends via an agentic LangGraph loop.
LangGraphPythonOpenAI
- •Architected an 8-node LangGraph agentic loop pairing SBERT + HDBSCAN clustering with a PubMed/Semantic Scholar cascade
- •Engineered continuous lifecycle tracking with dynamic velocity routing and early-warning signals instead of one-off alerts
- •Prevented medical hallucinations via deterministic evidence scoring and automated NCBI database cross-referencing
- •Consolidated APIs into Next.js on a hybrid GCP setup, cutting cloud infrastructure costs by 55%
PythonLangGraphOpenAIGCPNext.jsTSX
ShadowMapBuilding
PyTorchFastAPINext.js
On-device privacy extension that intercepts sensitive user data before it reaches external AI models.
PyTorchFastAPINext.js
- •Developing a Chrome extension that runs on-device NLP to detect and redact PII before it leaves the browser
- •Training a lightweight PyTorch transformer model for real-time named entity recognition on sensitive fields
- •Building a FastAPI gateway that applies differential privacy noise to structured data before forwarding to LLM APIs
- •Integrating Supabase for user preference storage and audit logging of all intercepted data events
PythonPyTorchFastAPINext.jsSupabaseChrome Extension
VerifyXLive
PythonFastAPIQdrant
XAI compliance platform that automatically verifies financial claims against regulatory RBI documents.
PythonFastAPIQdrant
500+
RBI Docs Indexed
10,000+
Chunks Indexed
94%
NLI Accuracy
96%
Top-5 Recall
- •Built a hybrid retrieval pipeline combining Qdrant vector search with Elasticsearch BM25 for maximum recall across RBI circulars
- •Integrated DeBERTa-based NLI models for explainable claim verification with confidence scoring and evidence highlighting
- •Designed a FastAPI backend with streaming responses and Supabase auth for real-time compliance dashboards
- •Engineered a document ingestion pipeline that chunks, embeds, and indexes regulatory PDFs automatically
PythonFastAPIQdrantElasticsearchGroqDeBERTaSupabase
HabitatLive
Next.jsXGBoostFastAPI
Predictive geospatial tool that maps species-specific wildlife habitat suitability from satellite imagery.
Next.jsXGBoostFastAPI
12
Species Mapped
32+
Districts Analyzed
4
Env Layers Modeled
89%
Accuracy
- •Built an end-to-end pipeline ingesting Sentinel-2 satellite imagery and extracting habitat features with NASA Prithvi foundation model
- •Trained scikit-learn ensemble classifiers across 4 environmental layers (rainfall, drought risk, temp, soil) for 32+ Maharashtra districts
- •Designed an architecture built for regional validation that generalizes to new geographic areas with regional observation data
- •Created an interactive map interface in Next.js with layer toggles for NDVI, land cover, and prediction overlays
PythonFastAPIscikit-learnSentinel-2PrithviSupabaseNext.js
Skills & Technologies
Python
Go
TypeScript
JavaScript
Java
PyTorch
Hugging Face
LangChain
LangGraph
RAG Pipelines
React
Next.js
Node.js
Express
FastAPI
PostgreSQL
Vector DBs
MongoDB
RedisSQL
Linux
AWS
GCP
Docker
Git
GitHub
Tailwind
PostmanEducation
Thadomal Shahani Engineering College
B.E. in Information Technology
Aug 2023 - Present•Mumbai, India
Mumbai, India8.59/10
GPA
2027
Expected Graduation
- •Relevant Coursework: Algorithms, Data Structures, Operating Systems, DBMS, Computer Networks, Distributed Computing, Software Engineering, AI/ML
- •Google Summer of Code '26: Selected globally (~5% acceptance rate) for Open Genome Informatics (Courtot Lab, OICR / Univ. of Toronto)
- •Competitive Programming: Codeforces Pupil with a peak rating of 1297
"When will I know I'm ready?"
"You won't. It's a leap of faith. That's all it is, Miles. A leap of faith."
PETER PARKER