Mohammed Asif

Engineering Manager

https://talent.gravityer.com/mohammed-asif

Engineering Manager with 10+ years in AI, LLM Training & GenAI Products

Turing

Key Strengths

Extensive experience (12+ years) in Engineering Management, with a strong focus on AI, LLM training, and GenAI products.
Demonstrated leadership in managing large engineering teams (up to 70 engineers) and delivering complex AI/ML projects.
Deep expertise in LLM training and alignment techniques (SFT, RLHF, DPO, PEFT, LoRA, Reward Modelling, Constitutional AI).
Proficient in RAG and Vector Search implementations (LangChain, Pinecone, ChromaDB, OpenAI embeddings).
Strong background in prompt engineering, model evaluation (BLEU, ROUGE, Human-evals), and MLOps practices (MLflow, W&B, Kubeflow).
Proven ability to drive significant business impact, such as reducing query resolution time by 40%, inference cost by 30%, and improving alignment scores by 18%.
Experience with diverse cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD, Terraform).
Strong architectural skills in Microservices, Serverless, Scalable system design, Event-driven patterns, and Distributed Systems.
Successfully launched new AI-assisted product verticals and integrated enterprise AI platforms (C3 AI).
Active in promoting a culture of experimentation and continuous learning in GenAI practices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse project experience, including a prize-winning side project on an AI-powered interview platform and an internal LLM evaluation toolkit, showcases innovation and initiative. Their roles at Turing and Codvo.ai align perfectly with the target role of Engineering Manager in AI/LLM. The breadth of skills across GenAI, MLOps, cloud, and backend development, combined with a focus on team leadership and continuous improvement, indicates a strong cultural fit for a forward-thinking, technically advanced organization.

Soft Skills & Operational Fit

The candidate demonstrates strong leadership, project management, and communication skills, evidenced by their experience in managing large teams, stakeholder communication, sprint planning, and budget oversight. Their ability to coach engineers on GenAI practices and foster a culture of experimentation indicates a proactive and growth-oriented approach. The candidate's experience in Agile/Scrum methodologies suggests a good operational fit for dynamic development environments.

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Experience

Turing

Engineering Manager - AI (LLM Training & GenAI Products)

October 1, 2024 – Present

India

Codvo.ai

Engineering Manager - AI & Python Platform

September 1, 2021 – October 1, 2024

India

Leapmile Logistics Pvt Ltd

Engineering Manager - IoT & Backend Platform

November 1, 2019 – July 1, 2021

Bengaluru, Karnataka, India

Labyrinth Technologies LLP

Senior Backend Lead

December 1, 2017 – November 1, 2019

Bengaluru, Karnataka, India

Grabed Inc

Backend Lead

October 1, 2016 – November 1, 2017

Bengaluru, Karnataka, India

3Y3 Digital Labs

Senior Tech Lead

October 1, 2015 – October 1, 2016

Bengaluru, Karnataka, India

Sportskeeda

Engineering Lead

September 1, 2014 – September 1, 2016

Bengaluru, Karnataka, India

Projects

AI-powered Interview Platform (Side Project)

June 15, 2026 – Present

Built an AI-powered interview platform using LLMs for real-time candidate evaluation, automated question generation, and behavioral analysis via multi-modal signals. Implemented anti-cheating detection (gaze tracking + NLP consistency checks), embedding-similarity auto-ranking, and ATS-ready summaries with structured JSON output. Won First Prize at an internal innovation showcase; currently building the full MVP.

LLM Evaluation & Alignment Toolkit (Internal – Turing)

June 15, 2026 – Present

Built the toolkit in Python using HuggingFace, OpenAI API, and an RLHF pipeline to support evaluation and alignment workflows. Designed an internal eval harness to automate benchmarking across helpfulness, safety, and instruction-following; used across 10+ client model training engagements. Integrated human-in-the-loop preference collection with automated scoring to halve annotation turnaround time while keeping inter-annotator agreement above 85%.

Key Strengths

Extensive experience (12+ years) in Engineering Management, with a strong focus on AI, LLM training, and GenAI products.
Demonstrated leadership in managing large engineering teams (up to 70 engineers) and delivering complex AI/ML projects.
Deep expertise in LLM training and alignment techniques (SFT, RLHF, DPO, PEFT, LoRA, Reward Modelling, Constitutional AI).
Proficient in RAG and Vector Search implementations (LangChain, Pinecone, ChromaDB, OpenAI embeddings).
Strong background in prompt engineering, model evaluation (BLEU, ROUGE, Human-evals), and MLOps practices (MLflow, W&B, Kubeflow).
Proven ability to drive significant business impact, such as reducing query resolution time by 40%, inference cost by 30%, and improving alignment scores by 18%.
Experience with diverse cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD, Terraform).
Strong architectural skills in Microservices, Serverless, Scalable system design, Event-driven patterns, and Distributed Systems.
Successfully launched new AI-assisted product verticals and integrated enterprise AI platforms (C3 AI).
Active in promoting a culture of experimentation and continuous learning in GenAI practices.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Mohammed Asif

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit