Abhishek Mor

Abhishek Mor

+•• ••••• •••••••••••@•••••.com

2.2 yrs

As an Associate Machine Learning Engineer, I am driven by a determined ambition to tackle complex challenges, leveraging a logical and pragmatic approach to problem-solving. I pride myself on my accountability and resourcefulness, consistently delivering robust solutions with resilience and a structured mindset.

  • Delhi
  • Open to Bangalore · Pune · Gurgaon
  • Hybrid, Remote, On-site

Ask about Abhishek

Skills

Claimed

LangExtract Library UsageMachine Learning ApplicationFIS Vector Database UsageProof of Concept DevelopmentTechnical Content CreationTechnology Stack SelectionDatabase SelectionRequirements AnalysisAdaptabilityMentoring and Peer CoachingSoftware Architecture PrinciplesTeam Leadership

Proof of Experience

PLS Solicitors

Associate Machine Learning Engineer

PLS Solicitors · Jun 2025 – Aug 2026

  • Led GenAI proof-of-concept initiatives using open-source LLMs, validating extraction of 10+ business-critical fields against strict business and legal rules to assess production feasibility.
  • Automated a notebook-based forecasting workflow into a scheduled monthly ML pipeline, handling data preprocessing, feature engineering, model training, and evaluation across 10+ models for property sales and case-arrival forecasting.
  • Built a real-time backend observability platform for 10+ AI services using WebSockets and MongoDB Change Streams, enabling live monitoring of service health, success/error rates, token usage, retries, document processing metrics, and request-level costs.

Software Developer

Homenetics Technologies Pvt Ltd. · May 2024 – May 2025

  • Automated Docker log aggregation and LLM-powered analysis using Python, Bash, and CLI utilities, building a date-range dashboard for log summarization and production issue analysis, reducing incident investigation time by 60%.
  • Developed a RAG-based FAQ pipeline using Python, FAISS, embeddings, and OpenAI APIs, replacing static FAQ lookup with semantic retrieval and context-aware responses over knowledge-base content.
  • Built backend APIs and AI retrieval workflows integrating LLM services and vector search with application data to support contextual query processing.

Software Developer

Homenetics Technology PVT. LTD. · Apr 2024 – May 2025

  • Developed a customer-facing FAQ chatbot using Python, FAISS, embeddings, and OpenAI APIs, implementing semantic search and context-aware RAG to retrieve relevant knowledge and generate accurate responses to customer queries.
  • Engineered an automated Docker log intelligence pipeline using Python and Bash to aggregate container logs by date range, process operational data, and generate LLM-powered summaries through a dashboard, reducing production issue investigation time by 60%.
  • Contributed to Eagle Eye, a real-time IoT monitoring platform, integrating backend APIs for live device-status tracking, remote resets, and device-level operational summaries to improve visibility into connected smart-home devices.
  • Contributed to the development of multiple FastAPI-based microservices within a distributed architecture, implementing REST APIs and inter-service integrations to support modular and scalable application workflows.
  • Configured and deployed WireGuard VPN across 5+ Linux servers, establishing secure, encrypted communication between backend services and enabling private network connectivity.

Proof-of-Work

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Proof of Education

Bachelor of Technology, Computer Science & Engineering

Chandigarh Group of Colleges (CGC), Landran, Punjab · 2020 — 2024

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