Headline

FDSE @ Sarvam AI | Knight @ Leetcode

About

Deepsolv develops AI-driven solutions, and as an AI Engineer, contributions include creating a scalable Retrieval-Augmented Generation (RAG) pipeline with Pinecone and FastAPI to enhance search and retrieval systems. Additional work includes deploying open-source models like LLaMA-7B and InfiniteYOU on virtual machines, optimizing GPU performance with custom CUDA kernels, and designing analytics pipelines to track KPIs such as CTR and customer attrition. These efforts have enabled clients to improve sales and streamline operations. Currently pursuing a Bachelor's degree in Computer Science and Engineering at IIIT Kalyani, academic learning complements hands-on experience with advanced tools like Vertex AI, LangChain, and Google Cloud Platform. Passionate about creating impactful AI solutions, the focus lies on leveraging technical expertise to design innovative tools for customer engagement, content generation, and social media strategy optimization.

Location

Bengaluru

AI stack

claude code

cursor

elevenlabs

langfuse

langsmith

lovable

Work experience

Forward Deployed Engineer at Sarvam, Dec 2025 - Present · 9 mos, • Created AI agents using Google ADK with optimum cost optimisation and AI observability and realtime LLM model switches to avoid inference instability • Integrated Facebook Developers Graph API to ingest and synchronise real-time social media data at scale; enabled seamless cross-platform analytics and automated campaign management for 20+ enterprise clients. • One of the early engineers on project SBI team and sole owner for MCP service which led to 70% of monthly revenue. Setup observability stack for reliable and ontime fixes as well. • Architected and deployed a WhatsApp-integrated sales automation suite for a Tier-1 government bank, enabling 5 million RMs to automate manual workflows and improve lead conversion rates.

Software Engineer at Dashverse, Jul 2025 - Dec 2025 · 6 mos, Greater Bengaluru Area, • Created the support bot from scratch, which streamlined the customer refunds and improved retention rates by 30%, batch scheduled Invoices Services for 1.5 Million payments and created a realtime notification service. • Created the internal CMS that streamlined the process of show uploads, media transcoding using byteplus to support subscription based streaming saving 5000 USD in infra costs. • Sole POC for character-chat service, which boosted retention rates on growth shows by 57% and helped establish our app as one of India’s first adopters of this feature in the micro-drama space

AI Engineer at Deepsolv, Jan 2025 - Jul 2025 · 7 mos, Bengaluru, Karnataka, India, - Developed a scalable RAG pipeline using Pinecone and FastAPI to power search and retrieval. Scraped and transformed data from Shopify stores for seamless ingestion and storage. - Built end-to-end analytics solutions for KPIs like CTR and customer attrition, enabling clients to boost sales. Designed a custom pipeline with BigQuery and Google Pub/Sub to manage large-scale data processing and storage in GCS buckets. - Deployed open-source models (InfiniteYOU, LLaMA-7B) on VMs, and optimised GPU utilisation by writing custom CUDA kernels. - Created a wrapper over Vertex AI Media Studio to assist clients in AI-based content generation, competitive analysis, and social media strategy management. - Optimised SQL queries to reduce runtime and significantly improve API latency. - Designed an internal debugging module that reduced customer issue resolution time by 70%, streamlining technical support. - Scaled social media moderation agents to efficiently handle 10,000+ queries, orchestrating automated workflows for client operations.

AI Engineer at Deepsolv, Aug 2024 - Jan 2025 · 6 mos, Bangalore Urban, Karnataka, India, Working as a part of the early team, working on social media moderation AI agents that scaled brand sales by 35% than general using automated replies and moderation. I worked on debugging the pipeline for monitoring and Prometheus monitoring. Integrated VertexAI and GCP services in the product and gained hands-on experience. Worked with Facebook and Instagram integration for their services and learned about event handling architecture.

SDE Intern at ZERON, Feb 2024 - Jul 2024 · 6 mos, Mumbai, Maharashtra, India, Worked on ZERON’s Compliance Automation Tool - Contributed to the development of ZERON's compliance assistant, designed to streamline and automate security compliance checks across organisational workflows. The tool helps users evaluate adherence to frameworks like ISO 27001, SOC 2, and NIST. - Fine-tuned open-source language models (using HuggingFace Transformers) to classify compliance documents and queries with 95% accuracy, significantly improving the system’s response quality. - Implemented advanced Retrieval-Augmented Generation (RAG) techniques, including GraphRAG, to improve contextual understanding and traceability of generated responses. - Integrated the pipeline using LangChain and Python, enabling modular, production-ready components for LLM orchestration. - Worked closely with compliance datasets to enhance the system’s ability to generate audit-ready responses based on policy documents and internal guidelines. Tech Stack: Python, Transformers (HuggingFace), LangChain, GraphRAG, REST APIs, PyTorch

AI Engineering Intern at Metapix, Jun 2023 - Dec 2023 · 7 mos, Cayman Islands, Worked on generative AI and computer vision features for production deployment - Developed and deployed a pose transfer model within the production web application, enabling dynamic and realistic human pose transformation across images. - Worked on image-to-image generation using Stable Diffusion, enabling creative visual outputs for features like virtual try-ons and AI-powered personalisation. - Built an automated pipeline for image cloud storage and retrieval, leveraging AWS Lambda and Firehose, which significantly reduced computing time and improved system scalability. - Designed and implemented SQL-based analytics and data logging pipelines to monitor model performance and user interaction data. - Collaborated on end-to-end computer vision solutions, from pre-processing and model training to API integration and deployment for real-time inference. - Contributed to the development of innovative CV features intended to improve user engagement and enhance app functionality. Tech Stack: Python, OpenCV, PyTorch, Stable Diffusion, AWS Lambda, AWS Firehose, Cloud Storage (S3/GCS), SQL, FastAPI/Flask

Education

Bachelor's degree, Computer science and engineering, Indian Institute of Information Technology Kalyani

green valley international public school

Public links

github: https://github.com/sarique2003

leetcode: https://leetcode.com/Srq_0110