App LogoApp name
NJ

Naman Jha

Open to work1 years experience

Software Engineer

Mumbai, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Software Engineer specializing in AI/ML-powered backend systems and LLM-driven workflows.

GitHub

Standing Rank

Rank Not Available

Developer Badges

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Skills & Technologies

42 skills
pythonjavagosqljavascriptc++djangofastapispring bootnode.jsexpress.jsawsdockergithub actionslinuxgcpmysqlmongodbredispostgresqlpgvectorsupabasellm integrationgroqgeminiprompt engineeringragvector searchmulti-agent systemscrewailitellmnlphuggingface transformerspytorchxgboostscikit-learngitgithubpostmanswaggerEc2ECS

Work Experience

Software Engineer

wTVision

Jul 2025 - Present Mumbai, India
  • Designed and delivered backend services using Django and FastAPI to support AI-driven workforce analytics and business automation platforms.
  • Developed LLM-powered performance analysis workflows using Groq APIs, reducing manual reporting effort and improving operational efficiency.
  • Implemented Server-Sent Events (SSE) architecture to replace WebSocket-based communication, simplifying infrastructure and reducing operational costs.
  • Investigated and resolved production incidents across AWS-hosted Linux environments through log analysis, monitoring, and root-cause investigation.
  • Optimized MySQL queries, indexing strategies, and transactional workflows , improving application responsiveness and reducing database-related issues.

Software Engineer

Ascendons

Mar 2025 - Jul 2025 Mumbai, India
  • Developed and maintained backend microservices using Java and Spring Boot for internal business applications.
  • Designed and integrated RESTful APIs for reliable communication between distributed services; improved DB performance via schema optimization and query tuning in MySQL.
  • Collaborated with product, QA, and engineering teams in an agile environment to deliver production-ready features.

Projects

AI Travel Discovery — RAG System

View Project
FastAPIpgvectorSentence-TransformersGroqDocker
  • Built an end-to-end RAG pipeline over ~1,400 tourism places: Sentence-Transformers embeddings (all-MiniLM-L6-v2, 384-dim) stored in Postgres + pgvector, with hybrid retrieval — cosine-similarity kNN combined with SQL filters (state, type, fee, rating).
  • Implemented grounded generation with Groq (Llama 3.1) using a strict context-only prompt to prevent hallucination and return source citations; clean FastAPI service with Alembic migrations, idempotent ingestion, and Docker Compose deployment.

AI Code Audit & Semantic Search

View Project
DjangoGeminiSentence-TransformersCeleryRedis
  • Engineered a Django backend that ingests Git repositories and runs LLM-driven (Gemini) code audits with explainable findings.
  • Implemented RAG-style semantic code search using sentence-transformer embeddings, enabling natural-language retrieval over indexed codebases; async jobs processed via Celery + Redis.

CrewAI Accessibility Auditor

View Project
PythonCrewAILiteLLMPlaywright
  • Built an autonomous multi-agent system using CrewAI that orchestrates LLM agents to audit websites for WCAG accessibility violations and generate remediation reports.
  • Integrated LiteLLM for provider-agnostic model routing and Playwright for automated, browser-driven page analysis.

Travel Itinerary Engine

View Project
FastAPIXGBoostOSRMFolium
  • Trained an XGBoost ranking model (200 estimators, label-encoded categoricals) to score and recommend destinations; deployed via FastAPI/Streamlit with a self-serve browser-based upload & retrain mode.
  • Engineered a geospatial routing pipeline using OSRM road routing with geodesic fallback, geocoded via Nominatim, rendered as multi-day color-coded Folium maps with drive-time labels.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Student Event Coordinator, GSCC

Organized and managed Technowizzee, a large-scale technical event, coordinating event operations, participant engagement, and execution workflows across multiple teams.

About Details

Professional Bio

Software Engineer with 1.5+ years of experience building AI/ML-powered backend systems and scalable microservices. Specializes in LLM-driven workflows, multi-agent orchestration, and RAG / semantic search pipelines, with production experience across Java, Python, AWS, Docker, and GCP.

B.Sc. Information Technology in Information Technology

GSCC, Mumbai University (2022 - 2025)

Languages: English, Hindi