Open to opportunities

manisha m

@manisham1

Message

I build production AI platforms, RAG systems, and scalable backend infrastructure.

India

Message

At Hiver, I lead AI Knowledge Builder, multi-knowledge-base architecture, AI ROI Insights, and AI Search—turning support conversations into structured knowledge and enabling analytics across 4,000+ customer organizations.

I've also built Disha, a GenAI career assistant at Hunar.ai, where GPT-4o-powered CV analysis, job matching, and conversational workflows reduced manual recruiter intervention by 50%. I developed an AI JD–CV matching engine using embeddings, FAISS, and LLM reranking that improved recruiter accuracy by 40%.

Across MoEngage, Doxel, Deloitte, and MediaAgility, I've delivered backend APIs, data pipelines, microservices, recommendation systems, and cloud platforms on GCP and AWS. I enjoy leading engineers through architecture, delivery, code reviews, and production readiness.

Experience

Work history, roles, and key accomplishments

Current

AI Tech Lead

Current

Hiver

Jan 2026 - Present (7 months)

Led end-to-end product, architecture, and full-stack development of Hiver's AI Knowledge Builder, an LLM-powered platform that transforms historical support conversations into structured Help Center articles and knowledge repositories. Architected and led the transformation of Hiver's Knowledge Base platform from a single-KB architecture to a multi-KB enterprise platform, and built the AI ROI & Us

Python fastAPI RAG Pinecone LangGraph Langfuse Semantic Search Vector Search Elasticsearch Redis MySQL Kafka AsyncIO Polars React Material UI Docker Kubernetes Datadog

Tech Lead

Hunar.AI

Feb 2025 - Jan 2026 (11 months)

Spearheaded the architecture and development of 'Disha', a GenAI-powered career assistant enabling intelligent CV analysis, JD parsing, and job discovery through LLM-powered conversations. Designed and implemented an end-to-end AI-powered JD–CV matching engine using semantic embeddings, FAISS top-K retrieval, and LLM-based re-ranking to boost recruiter efficiency.

MongoDB Python Docker Cloud Run GenAI React Django PostgreSQL Redis Faiss Dataflow LLM

Lead Software Engineer

MoEngage

Mar 2024 - Feb 2025 (11 months)

Built an API key authentication service enabling clients to create 50+ unique keys with scoped API access, enhancing security and flexibility. Led end-to-end backend development, ensuring scalability, and addressing critical edge cases. Managed a seamless migration, coordinating cross-team discussions, which improved system performance and reduced manual key management by 80%.

Python AWS S3 Kafka Java MongoDB Elasticsearch Grafana Redis

Senior Software Engineer

Doxel

Oct 2021 - Oct 2023 (2 years)

Implemented Redis, resulting in a performance improvement of 90%. Streamlined data transfer by implementing Google Cloud's Datastream, replacing extract load process in Airflow DAG for precise and efficient data streaming from Postgres to BigQuery. Drove monolith-to-microservice transition, enabling architectural improvements and modern development practices.

Python Java fastAPI Airflow DBT OAuth GCP SQLAlchemy Pandas BigQuery PostgreSQL C++gRPC

Software Engineer 2

Deloitte

Oct 2020 - Oct 2021 (1 year)

Wrote Python scripts to load third party API responses to Bigquery and deployed the cloud function to schedule load. Optimized and Built ETL workflows to contribute in design and development of Star schema for cloud product Utilization.

Java Python BigQuery Cloud Functions CIDER Dashboarding TypeScript

Software Engineer

Meadiagility (Persistent Systems)

Oct 2018 - Oct 2020 (2 years)

Designed and developed REST API, integrated with NoSQL DB and other GCP services for task scheduling. Implemented process tracking feature, achieved security, and handled Cloud deployments with 99% of automation. Optimized the Vision API logic by 50% using OOPS concepts and wrote a Cloud function to extract and store the codes.