RASHANJOT KAUR
// HIGHLIGHTS
000
PUBLISHED: ENERGIES 2026
3 PUBLISHED PAPERS
MS CS · BU · GPA 3.96
CLEVELAND CLINIC · AI
LLM EVALUATION & GUARDRAILS
AWS BEDROCK + LANGGRAPH
40+ CONTRIBUTORS
5+ SYSTEMS SHIPPED
RAPID PROTOTYPING
PRODUCTION-READY SYSTEMS
MULTI-AGENT ARCHITECTURES
AI SYSTEM ORCHESTRATION
CLOUD-NATIVE (AWS BEDROCK · CDK)
NLP
COMPUTER VISION
HEALTHCARE AI
ENERGY AI
SUPPLY CHAIN AI
AGENTIC AI ENGINEER
MULTI-AGENT SYSTEMS
AI SOLUTIONS
FDE
PUBLISHED: ENERGIES 2026
3 PUBLISHED PAPERS
MS CS · BU · GPA 3.96
CLEVELAND CLINIC · AI
LLM EVALUATION & GUARDRAILS
AWS BEDROCK + LANGGRAPH
40+ CONTRIBUTORS
5+ SYSTEMS SHIPPED
RAPID PROTOTYPING
PRODUCTION-READY SYSTEMS
MULTI-AGENT ARCHITECTURES
AI SYSTEM ORCHESTRATION
CLOUD-NATIVE (AWS BEDROCK · CDK)
NLP
COMPUTER VISION
HEALTHCARE AI
ENERGY AI
SUPPLY CHAIN AI
AGENTIC AI ENGINEER
MULTI-AGENT SYSTEMS
AI SOLUTIONS
FDE
// SECTION: PROJECTS
001

════ LIVE IN PRODUCTION ════

terrier.ta · langgraph.dag · grade + q&a
_
HW6
RUBRIC
SOLN
GRADE×50

TerrierTA

Course-Grounded Multi-Agent TA — Assessment, Student Q&A & Feedback

Boston University · Prof. Eugene Pinsky

■ PRODUCTION

Aug 2025 – Present

anacodicai.org/terrier-grader

RAGAS EVAL (LangSmith):

faithfulness0.97
relevancy0.94
correctness0.91
3BU COURSES
50+STUDENTS/SEM
60%OVERHEAD REDUCED
150+DOCS/CYCLE

LangGraph · Bedrock · Lambda · DynamoDB · S3 · CDK · CI/CD

Skills: ✓ Multi-agent (LangGraph) · ✓ Assessment + Student Q&A · ✓ LLM Evals (RAGAS+LangSmith) · ✓ Production

ClinicalSearch

Multi-agent clinical evidence retrieval — supervisor-routed specialists, hybrid search, and citation-grounded synthesis

■ LIVE

anacodicai.org/clinical-search

QUESTION
→ sub-queries
──●──
9 SPECIALTY AGENTS
burn · hand · cranio · peds +5 · parallel
──●──
RANKED EVIDENCE
inline citations

LLM-screened ~70K PubMed papers → 1M+ hybrid Pinecone vectors

Crossref retraction filtering · Semantic Scholar citation enrichment

Ranked by relevance · citations · recency · journal impact · evidence level

RANKING WEIGHTS:

relevance0.5
citations0.2
recency0.15
journal impact0.15
~70K PAPERS1M+ VECTORSHYBRID SEARCHCONSENSUS + CONTRADICTIONS

Strands · Pinecone (hybrid) · Bedrock · Semantic Scholar · Crossref

Skills: ✓ RAG at scale · ✓ Multi-agent (Strands) · ✓ Hybrid vector search · ✓ Evidence ranking

SafeBite

Agentic conversational recommender on a multi-stage retrieval-and-ranking engine with an independent hard-constraint safety layer

■ LIVE

anacodicai.org/safe-bite

RETRIEVE → RANK → SAFETY GATE

ReActorchestratorRETRIEVEtwo-towerRANKlearnedSAFETYhard gateEXPLAINwhy kept

Independent hard-constraint safety layer screens every candidate

Records why each candidate was kept or excluded

Recall@K / NDCG offline eval gates every change

2-towerRETRIEVAL → RANKER
hardCONSTRAINT SAFETY GATE
Recall@KNDCG OFFLINE EVAL

Python · PyTorch · LangGraph / Strands · Bedrock · Pinecone · FastAPI · React

Skills: ✓ Recsys (two-tower → ranker) · ✓ Agentic (ReAct) · ✓ Safety-constraint architecture · ✓ Offline eval

════ IN PROGRESS ════

Potluck

Multi-agent group restaurant recommendation — taste-vector matching, hybrid allergy filtering, and LLM-mediated group consensus

○ IN PROGRESS · 60–80%

GROUP TASTES
per-member
──●──
SPECIALIST AGENTS
Strands · parallel
──●──
LLM MEDIATION
fair group pick

Paper: Fairness-Aware Group Recommendation with LLM Mediation

Python · Strands · Bedrock · Groq · Pinecone · FastAPI · React · WebSockets

Skills: ✓ Multi-agent (Strands) · ✓ Group recsys / fairness · ✓ LLM mediation · ✓ Guardrails

ManuScript

Scholarly manuscript OCR, translation and reading platform — turns scanned historical documents into trustworthy, bilingual, provenance-tracked editions

○ IN PROGRESS · 60–80%

SCANhistorical docOCRlayout-awareTRANSLATEgroundedPROVENANCEtracked edition

Paper: Trustworthy, Affordable Translation of Books and Historical Manuscripts at Scale

Python · FastAPI · LangGraph · OCR · React · Docker

Skills: ✓ Document AI / OCR · ✓ Grounded translation · ✓ Provenance tracking · ✓ Full-stack

════ PLANNED ════

BizSight

Multi-Tenant Business Intelligence AI Platform on Bedrock AgentCore

○ PLANNED · DESIGN READY

Target architecture (planned)

MULTI-TENANT INPUT

Tenant Atenant1_biz1
Tenant Btenant2_biz1
Tenant Ctenant3_biz1
JWT → tenant_idper-tenant S3
INFRAECR · IAM · S3 · DynamoDB
container registry · roles · per-tenant buckets · metadata
│ provisions ↓
AUTHCognito · JWT → tenant_id
user pool · sign-in · token validation · multi-tenant isolation
│ authenticated request ↓
RUNTIMEBedrock AgentCore · Docker
ORCHESTRATORroutes requestssession mgmt
INSIGHTStab_pulsetab_journeytab_actions
SUPPORTchatfeedback
← 3 Strands agents
│ agent response ↓
APIGateway · Lambda proxy
/api/onboard · /api/tabs · /api/chat · /invocations
│ JSON response ↓
FRONTENDCloudFront · S3 · React · TypeScript · shadcn/ui
Dashboard · Chat · Onboarding UI
tenant-scoped dashboard · real-time insights · chat support

5 CDK stacks · 3 agents · AgentCore · Strands · React · CDK

Skills: ✓ AWS depth (AgentCore+CDK+Cognito) · ✓ Multi-tenant SaaS · ✓ Full-stack

✉ Interested in what I build?rashan@bu.edu →