Sachin Mishra

Software Engineer

Chennai, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Stackforce AI infers this person is a Full-Stack Engineer specializing in AI/ML solutions for the Healthcare industry.

Ai/mlBackend DevelopmentHealthcare TechnologyData ScienceMachine LearningFrontend DevelopmentComputer Vision

API testingAWS RekognitionApache Spark MLlibAzure OpenAICCDA notesCRUDCythonData StructuresEJSFlaskGPT-4HandcalcsImage ProcessingJavaJavaScript

0 mo

Total Experience

Average Tenure

Current Experience

2 roles

Aug 2025 – Present · 10 mos · On-site

Developed FAQPilot cutting support tickets by 60% and saving 100+ agent hours/day: GPT-4o-mini decomposes queries,Python server runs semantic search on web-crawled guides via OpenAI embeddings, synthesizing responses via webhooks;mitigates agent burnout and ensures 24/7 instant replies.

GPT-4semantic searchOpenAI embeddingsAI/MLBackend Development

Jul 2022 – Present · 3 yrs 11 mos · On-site

Contributed in Charm Copilot reducing clinical documentation time by 75% for 10,000+ medical practitioners using AzureOpenAI for ambient voice capture to auto-generate CCDA notes, saving 5+ hours/day; built patient summarization for 30shistory review vs 15min manual, outperforming Nabla/Deepseek benchmarks.
Built subscription infrastructure projecting $10M annual revenue: admin console with one-click analytics on usage and AI costs,RBAC for HIPAA-compliant prescriber access, flexible pricing tiers with trial credits; enables scaling from pilots to enterprisehealthcare deployments.
Wrote scalable e-KYC framework handling 7 different workflows using Java, AWS Rekognition, and MySQL with event-driven architecture, generating $50K revenue and onboarding 60K users while reducing fraud by 67% through ML-basedbiometric validation.
Contributed in AI-powered Charm Assist feature leveraging OpenAI GPT-4 fine-tuned models serving 5,000 healthcare practices,achieving 75% workflow optimization through prompt engineering, vector embeddings, and Redis-backed caching maintainingsub-200ms p99 latency.
Engineered high-throughput PDF417 barcode decoder, extracting demographics from 100K driver licenses since release at85% accuracy using ZXing, eliminating OCR dependency through regex-enhanced NER pipeline reducing manual effort by 90%.

Azure OpenAIambient voice captureCCDA notessubscription infrastructureRBACJava+6

Apr 2022 – May 2022 · 1 mo · Hyderabad, Telangana, India

Pioneered hybrid recommendation algorithm combining collaborative filtering with content-based approaches using Python,scikit-learn, and Apache Spark MLlib, boosting patient-provider matching accuracy by 45% across 10K healthcare providers.
Constructed mathematical computation microservice using SymPy and NumPy, eliminating expensive Wolfram API costs while maintaining 95% query resolution rate through custom symbolic algebra engine.

collaborative filteringcontent-based approachesscikit-learnApache Spark MLlibData ScienceMachine Learning

Jan 2022 – Apr 2022 · 3 mos · Pune, Maharashtra, India

Development of front-end UI using Vue.js and Quasar, user friendly interfaces for acoustic product websites and contributed to an Admin Console project, integrating Flask and MySQL database for efficient inventory data management.

Vue.jsQuasarFlaskMySQLFrontend DevelopmentBackend Development

Jun 2021 – Jul 2021 · 1 mo · Gurugram, Haryana, India

Researched real-life cases of cybercrime, data breach, F2P, ESIM and AEPS scams, QRL Jacking, IDOR vulnerability, OSINT platforms, & theorized development of honeypot servers with payload for tracing IP of exploiters behind VPN/proxy servers.

Oct 2020 – Dec 2020 · 2 mos · Bengaluru, Karnataka, India

Worked on optical code detection from invoice docs using OpenCV and bbox visualizations, testing APIs and analyzing their JSON responses, and optimizing python code using Numba and Cython resulting in saving cost, time, and human labor.

OpenCVAPI testingNumPyCythonComputer VisionBackend Development