Available for opportunities

Sagar
Gaikwad

Generative AI Engineer · RAG & LLM Specialist · DevOps

Building production-grade AI systems that ship. 4+ years designing LLM pipelines, hybrid search architectures, and cloud-native infrastructure across legal-tech, PropTech, and HR-tech.

4+
Years Experience
100k+
Docs Processed
3
SaaS Products Shipped
✉ Get in Touch ⌥ GitHub in LinkedIn
Sagar Gaikwad — Generative AI Engineer, Pune
📍 Pune, Maharashtra
⚡ LLM · RAG · DevOps
🏗 3 Products Shipped
// About

Who I Am

I'm Sagar Gaikwad, a Generative AI Engineer from Pune, Maharashtra. I specialise in the full LLM lifecycle — from data ingestion and hybrid retrieval (BM25 + dense vectors) to prompt engineering, LLM evaluation, and cloud deployment.

At CYperts Digital Solutions, I led a 3-person AI team shipping production GenAI products. My work on Lawttorney.ai processed 100,000+ legal documents with 95% metadata-extraction accuracy, cutting user research time by 40%.

Every system I build is benchmarked against latency, accuracy, and user engagement baselines — because measurable outcomes are what matter.

✉gaikwad7sagar@gmail.com
📞+91 8788134526
⌥github.com/gaikwadsagar97
inlinkedin.com/in/sagar-gaikwad723445253
LLM & GenAI
LangChain OpenAI API Gemini API Claude API HuggingFace Prompt Engineering Google ADK
RAG & Search
RAG Systems Hybrid Search Elasticsearch ChromaDB FAISS pgvector BM25
Backend & DevOps
Python FastAPI Docker Kubernetes AWS GCP Terraform GitHub Actions Prometheus ArgoCD
Databases
PostgreSQL MongoDB Redis Elasticsearch
// Projects

Key Products Shipped

⚖️
Lawttorney.ai

Legal research platform with hybrid RAG (BM25 + dense vectors) over 100k+ Indian legal documents. PDF chat feature slashed research time by 40%.

Python FastAPI Elasticsearch Gemini LLM pgvector Scrapy Docker
✓ 95% metadata extraction accuracy · 40% faster research
🏠
PropertySearch.ai

Real-estate recommendation engine over 500k+ listings using content-based filtering + pgvector similarity search. Sub-second p95 latency.

FastAPI pgvector Google Maps API Plotly/Dash PostgreSQL Terraform AWS
✓ +25% recommendation relevance · A/B tested at p<0.05
💼
BoardSearch.ai

AI-powered dual-sided recruitment matching using BERT embeddings and collaborative filtering. Automated resume generation via GPT.

FastAPI React BERT OpenAI GPT Docker Kubernetes GitLab CI
✓ 28% above rule-based baseline · −15 min recruiter shortlisting
// Experience

Where I've Built

GenAI Engineer
CYperts Digital Solutions Pvt. Ltd · Pune, Maharashtra
Jan 2022 – Mar 2026
Architected RAG pipelines (BM25 + dense vectors), reducing latency 20% and improving answer relevance 35%.
Built LLM evaluation framework tracking hallucination rates, retrieval precision, and user satisfaction.
Property & job recommendation engines lifted user engagement by 32% via 30-day cohort A/B tests.
Tuned HNSW index parameters for sub-second p95 latency on 500k+ document corpora.
Async processing + Redis caching enabled 3× concurrent user load without degradation.
Full CI/CD via GitHub Actions & GitLab CI: lint, test, Docker builds, zero-downtime deployments.
IaC with Terraform across AWS (EC2, S3, Lambda, CloudWatch) and GCP (Cloud Run, GCS).
Prometheus + Grafana + ELK Stack: reduced mean time-to-detect incidents by ~50%.
Kubernetes (Helm + ArgoCD): HPA/VPA, pod disruption budgets, rolling updates, tested to 500 concurrent users.
Collaborated with cross-functional teams to enforce SLA targets and zero-downtime releases.
// Education

Academic Background

Master of Computer Applications (MCA)
JSPM's Engineering College, Pune
2020 – 2022
GPA: 8.1 / 10

Dissertation: "Context-aware document retrieval using sentence embeddings" — directly applied in the Lawttorney.ai RAG architecture.

Bachelor of Computer Applications (BCA)
Modern College, Pune
2017 – 2020
GPA: 6.1 / 10