.Net Core Full-Stack

KANCHAN ASHOK NAIK

+1-408-***-**** San Jose, CA *************@*****.*** linkedin.com/in/kanchan-ashok-naik https://github.com/kanchNaik Full-stack & Gen-AI engineer, 6 years delivering global cloud-scale products. Led migrations to microservices handling 1 M+ daily transactions, cut API latency 50 %, & built RAG/LLM pipelines for real-time scoring and analytics. Proven record shipping end-to-end features that boost revenue, reliability, and user experience.

TECHNICAL SKILLS

Frontend: ReactJS, HTML5, CSS3, Bootstrap, Redux

Backend: .NET Core, Django, Flask, FastAPI, REST APIs, Microservices Languages: JavaScript, Python, C#, SQL, Java

Databases: PostgreSQL, MySQL, MongoDB, Redis

Cloud/DevOps: AWS, GCP, Docker, Kubernetes, Git, Swagger, Postman ML/AI: Sentence-BERT, OpenAI Embeddings, BLIP/CLIP, Logistic Regression, SVM, UMAP + HDBSCAN, LoRA, Prompt Engineering, RAG, fine-tuning WORK AI/Pyramyd.ML EXPERIENCE Engineering ai (May 2025 Intern – Present)

● Boosted vendor-match recall 14 % by fine-tuning GPT-2 on 50 k SaaS reviews (G2, Capterra); hit 91 % F1 extracting feature aspects + sentiment to enrich the competitive-intelligence graph.

● Ranked ~3 000 vendors with an AI requirement-extraction & scoring engine that converts free-form buyer needs into structured specs and powers the “Top Vendors” widget for GTM & procurement teams.

● Cut solution-architect analysis time 3.3 via capability-coverage clustering (UMAP + HDBSCAN) that surfaces unmet requirements instantly.

● Shipped a real-time RAG search API (Pinecone / FAISS) with P95 < 300 ms and 99.9 % uptime for comparable-vendor evidence

● Automated weekly model refreshes and fairness checks with MLflow pipelines, eliminating manual ops. Software Musafir.com Engineer India Pvt. Senior Ltd. (Jul Software 2018 – Nov Engineer 2023, India)

● Re-platformed a legacy monolith into containerized .NET + Python microservices, slicing API latency 50 % and unplanned downtime 40 % while scaling to 1 M + requests/day.

● Engineered a hybrid recommender that lifted booking-conversion 25 % and CTR 30 %; paired with a fraud-detection pipeline blocking 80 %+ bot bookings and saving US $600 K.

● Re-engineered the entire flight-booking journey and launched hotel & flight-plus-hotel flows end-to-end, replacing legacy code with modern APIs; cut search-to-booking latency 45 % and opened a new revenue channel.

● Revamped finance-suite modules (invoicing, reconciliation, refunds) with simplified UIs and optimized data flows, shrinking month-end close time 60

% and halving support tickets.

● Orchestrated Kafka Spark ETL and Looker dashboards, slashing reporting lag from 24 h to 5 min for bookings and P&L metrics.

● Optimized PostgreSQL, MongoDB & Redis caching, reducing query latency 60 % across peak traffic.

● Launched Musafir’s first iOS booking app, using async data-fetch to deliver 50 % faster flight search and a 4.5-star App Store rating. SELECTED TECHNICAL PROJECTS

Uber-ReactJS, like Django, Ride-Hailing MongoDB, Platform AWS, Kafka, PySpark, Redis

● Developed a scalable full-stack ride-hailing system with real-time ride matching, integrating Kafka and PySpark to handle 10K+ concurrent requests.

● Used geospatial indexing and Redis caching to optimize query latency and improve throughput by 40%.

● Deployed the system on AWS, with modular frontend in ReactJS and API-driven architecture on Django. LLM-Based Interview Simulation with RAG & Multimodal Evaluation

- GPT-4o, LLaMA-2, Mistral-7B, Qwen, ViT, Whisper, Praat, RAG, GCP, Pinecone

● Curated & embedded 157 K multi-domain interview Q&A with Sentence-BERT, populating ChromaDB for metadata-aware question retrieval.

● Fine-tuned LLaMA-3-70B (LoRA, 4-bit) and Mistral-7B on 1.5 K QA-feedback pairs—achieved BLEU 0.606 and perplexity 8.7, delivering fluent, adaptive interviewing.

● Integrated OpenAI Whisper with Librosa noise-reduction for real-time speech-to-text and prosody capture, enabling immersive voice interviews and granular feedback.

EDUCATION

● MS in Applied Data Science San Jose State University, San Jose, California, USA, Expected Dec 2025, GPA 3.87/4.0 Relevant Coursework: Distributed Systems, Deep Learning, Generative AI, Machine Learning, Big Data Technologies

● B.E.(Information Technology) VIIT, Pune University, India 2014 - 2018, GPA 3.71/4.0 Relevant Coursework: DBMS, Software Engineering, Advanced Databases, Data structures and Algorithms CERTIFICATIONS and PUBLICATIONS and AWARDS

● Certificates - Databricks – Academy Accreditation: Generative AI Fundamentals Mar 2025 – Mar 2027 · Cred ID: 138825169

● Publications - Fake Currency Detection Using Image Processing and Random Forest Algorithm, Recent Trends in AI & Its Applications (e-ISSN: 2583

-4819)

● Hackathon winner: NLP text-to-booking solution that restored airline availability, praised by CTO.

● Promoted twice in 2.5 years; “Best Performer” awards 2019 & 2022.

Contact this candidate