01Identity infrastructure
OAuth 2.0 & IAM Platform
A multi-application Django authentication service with token issue and refresh flows, RFC 7662 introspection, resource authorization, Alexa login, and IAM APIs.
DJANGO · OAUTH TOOLKIT · IAM · REST
Data science · engineering · applied AI
I build the layer between ambitious AI and the real world.
I’m Sanxchep, a data engineer and scientist turning research, machine learning, and difficult infrastructure into systems people can actually depend on.
SCROLL TO INSPECT
01 / Projects
Connected systems,
built for real problems.
02Production computer vision
Face Recognition Attendance
Face enrollment and recognition connected to attendance workflows, AWS services, REST endpoints, schedulers, logs, test collections, and production packaging.
AWS REKOGNITION · DJANGO · REST · QA
03Production NLP
Academic Question Generation Platform
A service family spanning transformer inference, question generation, data pipelines, API orchestration, sample tooling, and batch-parallel inference across eight GPUs.
TRANSFORMERS · PYTHON · APIS · GPU
04Language products
Conversational AI & RAG
Chatbot proofs of concept and service backends built across GPT-3, GPT-3.5, GPT-4, Pinecone retrieval, streamed responses, and reusable assistant APIs.
GPT APIS · PINECONE · PYTHON · STREAMING
05Voice interfaces
Alexa & Lex Voice Platform
Alexa skills, Lambda handlers, Lex v2 endpoints, intent routing, authentication, response helpers, and backend services for the Genie assistant.
ALEXA · AMAZON LEX · LAMBDA · DJANGO
06Service foundations
Backend Platform Foundations
Reusable Django foundations across multiple product teams and releases.
DJANGO REST · MICROSERVICES · AUTH · LINUX
07Product services
Search, Nudges & Education APIs
Focused text-search and nudge-delivery APIs built for a larger education platform.
PYTHON · FLASK · DJANGO · REST
08Applied prototypes
Classification & Ledger Prototypes
Focused builds for Amazon product categorization, a blockchain proof of concept, and a Hyperledger Fabric client—kept as supporting work rather than headline projects.
CLASSIFICATION · BLOCKCHAIN · HYPERLEDGER
09Production operations
Cloud Operations & Migrations
Deployment scripts, Django migrations, ECS tests, cron services, health checks, log handling, and Linux startup tooling used to keep services moving between environments.
AWS ECS · DOCKER · LINUX · CI/CD
02 / Experience
Experience across
data, ML, and backend systems.
2023 — NOW
Data Engineer & Scientist
August-Wilhelm Scheer Institut · Saarbrücken
Research data infrastructure, provenance, automation, and machine-learning systems for electrochemical manufacturing and testing.
2022 — 2023
Data Engineer
Nimoy IT Solutions · Gurugram
Production NLP, ML-backed APIs, OAuth foundations, cloud services, and retrieval-augmented AI prototypes across multiple domains.
2021 — 2022
Backend Developer
Nimoy IT Solutions · Gurugram
Dockerized ML services, Django REST APIs, Linux production systems, and an attendance platform powered by face recognition.
03 / Skills
The skills behind
the systems.
Machine learningDeep learningNLPComputer visionTransformersLLMs & RAGPrompt engineeringAnomaly detectionTime-series forecastingForecastingModel evaluation
04 / Research
Evidence, not
just experiments.
2026
Advanced Engineering MaterialsEarly View ↗
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials · Vol. 28 · e71314
doi:10.1002/adem.71314 ↗2022
EarthArXiv
Forecasting Marine Heatwaves Using Machine Learning
EarthArXiv preprint · 2022
doi:10.31223/X58D2S ↗2021
ACCESS 2021 Conference
A Scheduling System for an Energy Storage Device Using Photovoltaic and Demand Forecasting
2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS) · pp. 291–296
doi:10.1109/ACCESS51619.2021.9563277 ↗05 / External proof
Trusted with
the whole system.
End-to-end backend ownership, scalable delivery, and a consistent eye for inefficiency.
Durga Prasad PalukuriMentor · GEMSView on LinkedIn ↗
Could turn ideas into proofs of concept in days while handling multiple scalable products.
Yeswanth KurubaDirect manager · GEMSView on LinkedIn ↗
Fresh approaches, reliable delivery, and unusual commitment when building scalable ML solutions.
Shameed SaitAI engineering collaboratorView on LinkedIn ↗
01Python Basics — MOOC courseUniversity of Michigan · Coursera · 2020
02AWS Fundamentals: Going Cloud-NativeAmazon Web Services · 2019
03Data Science MethodologyIBM · 2019
04Programming, Data Structures & Algorithms using PythonNPTEL · 2019
05Natural Language Processing using PythonNational Institute of Industrial Training · 2019
06Blockchain BasicsUniversity at Buffalo · 2019
07 / Contact