Nandu vamsi

As a data scientist, I am driven by a deep ambition to achieve mastery and deliver accountable, data-driven solutions. My highly logical and pragmatic approach, coupled with a determined pursuit of excellence, allows me to independently tackle complex challenges and ensure optimal outcomes.

Open to

Bengaluru · Singapore · San Francisco · New York · Tokyo

Work style

hybrid, remote

Identity verified by DigiLocker

Contact details — on requestProof of Work — on request

Experience

Data Scientist

PURPLEANT TECHNOLOGIES INC · Mar 2026 – Present

Not yet confirmed

Wrrk.ai AI-Powered Unified Workspace and CRM Platform | LLMs, Azure OpenAI, Claude, Twilio, ElevenLabs, Azure Speech, SuperU, Cartesia, Bedrock, Node.js, TypeScript, Anthropic API
Architected a production-grade multilingual Voice AI platform integrating 4 AI voice providers, 2 telephony providers, stateful agent orchestration, configurable prompt workflows, and a RAG pipeline supporting 6+ document formats, dual-provider indexing, AI-driven knowledge validation, and multilingual retrieval.
Engineered an enterprise LLMOps & AI evaluation framework leveraging Azure OpenAI, Claude, Bedrock, Deepgram, and Hume AI for 10+ post-call intelligence workflows (summarization, sentiment, intent, CSAT, lead scoring, emotion analysis), LLM-as-a-Judge evaluation, hallucination detection, citation verification, outbound AI campaigns, warm transfers, and PII-compliant processing.

AI Consultant (Freelance)

Multiple SaaS Founders · Jan 2026 – Present

Not yet confirmed

Partnered with founders of multiple SaaS startups to architect scalable AI native products, backend platforms, ETL pipelines, workflow automation, and Android applications, translating business requirements into production-ready solutions.

Data Scientist

SOLIS TECHNOLOGY PVT LTD · Jun 2025 – Mar 2026

Not yet confirmed

Solis Insurify - Enterprise Insurance Distribution Platform | NestJS 11, Next.js 16, React 19, TypeScript, Prisma 6, PostgreSQL, Redis, gRPC, Temporal, AWS, Claude Code
End-to-end SaaS platform digitizing the insurance distribution lifecycle - lead capture, customer KYC, quote generation (Motor/Health/Life/Commercial), policy issuance, commission settlements, and analytics across role-specific apps for Agents, RMs, Ops, HR, and Admin.
Architected Nx monorepo with 13 NestJS microservices and 5 Next.js apps; event-driven design with gRPC inter-service calls, Temporal workflows, Redis pub/sub, and SSE/Socket.IO for real-time updates.
End-to-end AI-assisted development using Claude Code across 100k+ LOC - architecture, implementation, debugging, and refactoring; integrated multi-tenant auth, KYC, quoting engine, settlements, and email/SMS/WhatsApp notifications.
Fig-Code (No-Code Figma to Code Platform) | MCP, Ollama, Mistral 7B, Gemini 2.5 Pro, React, Next.js, LangChain, RAG, FAISS
Designed an AI-powered no-code platform to automatically convert Figma screens into production-ready full-stack code using an agent-based architecture with MCP and LangChain for UI component and layout analysis.
Integrated multiple LLMs (Mistral 7B, Gemini 2.5 Pro via Ollama) with RAG pipelines to improve component reuse and design-to-code fidelity, generating optimized React/Next.js components with responsive styling.
Multilingual Voice-enabled Chatbot | NeMo Toolkit [ASR], TensorFlow, PyTorch, Transformers, Node.js, Prisma ORM, PostgreSQL
Built a multilingual voice-enabled chatbot supporting Kannada, Punjabi, Hindi, English, Telugu, and Tamil with real-time speech recognition; implemented ASR pipeline using NeMo Conformer with NLU models and TensorFlow/Keras for intent classification.
Document Masking System (Aadhaar/PAN Security Automation) | Tesseract OCR, OpenCV, PyPDF2, AWS S3, Regex, Image Processing
Built an automated document masking solution using Tesseract OCR + regex pattern detection to identify and mask sensitive Aadhaar/PAN fields from scanned images and PDFs; applied OpenCV for precise region masking while preserving readability, with AWS S3 for secure storage.
Extended pipeline into a SmartDoc AI Parser using FastAPI, AWS Textract, and Google Gemini API to extract structured PAN/Aadhaar fields (Name, DOB, PAN) and export to CSV via Pandas.

Data Science Intern

COGNIFYZ TECHNOLOGIES PVT LTD · Jun 2024 – Jul 2024

Not yet confirmed

Feature Analysis: Engineered and analyzed key features impacting restaurant ratings across 10,000+ entries; performed statistical profiling of categorical variables to identify distribution patterns and data quality issues for downstream modeling.
Geospatial ML: Applied GIS-based feature extraction, hot spot analysis, and spatial autocorrelation to quantify location-rating correlations across cities and countries, generating location-aware features for predictive modeling.
Predictive Modeling: Designed, trained, and validated a regression model to predict aggregate restaurant ratings from engineered features, achieving 80% accuracy via iterative hyperparameter tuning and k-fold cross-validation.

Skills 0 proven through work

Also works with

Market Trend AdoptionAI Warm TransferNo-code DevelopmentProblem SolvingFull-stack DevelopmentSoftware Quality AssuranceTime ManagementUI Implementation from DesignCost-Saving Initiative ManagementStrategic PlanningSelf-Directed LearningTask AutomationMachine Learning ApplicationScoring Model DevelopmentModel Performance ImprovementCustom Voice Assistant DevelopmentAdaptabilityProduct LeadershipBusiness AcumenProduct DevelopmentHiringRetrieval-Augmented GenerationDocument ParsingMicrosoft ExcelPDF Library UsageNoisy Data HandlingTabular Data Cleaning & ValidationBusiness Growth StrategyREST API Endpoint DevelopmentKnowledge Base Design & ManagementChatbot DevelopmentApplication Performance OptimizationSystem TestingSDLC Process ApplicationAI Solution ImplementationAI Solution DesignRequirements AnalysisApplication DeploymentTesting under Varied ConditionsETL TestingBug FixingParser DevelopmentDocument Anomaly DetectionRoot Cause AnalysisLog AnalysisCode ReviewData ExtractionNotification System DevelopmentAuthentication System IntegrationMulti-Tenant Architecture DesignCode RefactoringTechnical TroubleshootingUser Story ImplementationSoftware Architecture PrinciplesAI-Assisted DevelopmentReal-Time Data FetchingSocket.IO UsageEvent-Driven ArchitectureMonorepo ArchitectureBuilding Web ApplicationsData ScienceCommission CalculationInsurance Policy AdministrationQuotation PreparationKYC ProcessingLead GenerationFintech Platform DevelopmentSaaS Platform DevelopmentClaude CodeAWS DeploymentTemporal Workflow ManagementgRPC ImplementationQuery WritingPrisma ORM UsageTypeScript DevelopmentReact DevelopmentNext.js DevelopmentRedis Cache ImplementationLow-Latency System OptimizationContext StructuringResponse FormulationContext MatchingComposable AI Workflow DevelopmentDatabase ManagementLLM Token Budget ManagementWorkflow CoordinationLLM Application IntegrationChat History ManagementOperations Data TrackingApplication State ManagementWorkflow State ManagementMulti-Agent System IntegrationMicroservices ArchitectureCampaign ExecutionAI Hallucination DetectionEmotion Detection System DevelopmentLead QualificationText ClassificationSentiment AnalysisAutomated Summarization SystemsHuman-in-the-Loop Review DesignMachine Translation IntegrationAWS Bedrock UsageAzure AI Services IntegrationEvaluation Framework DesignMLOps ImplementationLLM Output Verification and ValidationVector Database UsageETL Pipeline DevelopmentAI Workflow AutomationAI Agent DevelopmentVoIP IntegrationText-to-Speech IntegrationMultilingual AI Model DevelopmentScalable System DesignAI Platform Architecture Design

Proof of Work

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Education

Bachelor of Technology, Computer Science

Gurukul Kangri Vishwavidyalaya · 2021 — 2025

Intermediate Board, Intermediate Board

Sri Gayatri Junior College · 2019 — 2021

Links

linkedin.com/in/nandu-vamshi-krishna-6333b2232

Contact details

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